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Actor

Syntologyentry name in harvested coderead from the graph 2026-09-24

Actor appears in the code Syntology harvested for 68 papers, as 126 distinct code bodies found in 126 places (a place is one code body under one paper). At least one of them ran in 53 of the papers; 57 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named Actor do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 92 of the 126 distinct code bodies named Actor; 34 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
92ran
34unverified
57fingerprinted

Licence is a property of each copy, so it is counted per place: 75 of the 126 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

68 papers shown of 68, newest first; 126 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 8 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Integrating Novelty and Surprise for Experience Prioritization and Exploration in Image-Based Reinforcement Learning added by Syntology 2026-08 (from id) UoA-CARES/NSPER/nsper_td3.py 38a6c669a5af885c ran · metamorphic tier: deterministic no licence file found · pointer only
Diffusion Policy with Behavioral Advantage Correction for Offline Reinforcement Learning added by Syntology 2026-08 (from id) familyld/SCORE/score/SCORE.py e2c86f02b964230e ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
ReBRAC-v2: The Return of the King added by Syntology 2026-08 (from id) Simple-Robotics/guided-flow-policy/agents/rebrac.py af17450f0bb38797 ran MIT (permissive)
ReBRAC-v2: The Return of the King added by Syntology 2026-08 (from id) JongseongChae/FAC/agents/rebrac.py 0df80f5dd0c1a3a9 unverified no licence file found · pointer only
SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration added by Syntology 2026-06 (from id) montrealrobotics/shapo/safepo/single_agent/shapo.py e8e31987c5d58926 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
RL-ABC: Reinforcement Learning for Accelerator Beamline Control added by Syntology 2026-04 (from id) Anwar9Ibrahim/RL-ABC/rl_framework/Agents/DDPG.py d3e22fc2c8926db9 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Scalable Neighborhood-Based Multi-Agent Actor-Critic added by Syntology 2026-04 (from id) TimGop/MADDPG-K/src/MADDPG_agent.py af9fbaf52f3cd1cb ran no licence file found · pointer only
Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints added by Syntology 18 Mar 2026 Elessar123/SAC-FLOW/from_scratch_code/SAC_flow_gru_jax.py cbe4b2a64b8a77d3 unverified no licence file found · pointer only
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States added by Syntology 2026-03 (from id) XiangjieXiao/ReSched/PPO/SchedulingModel.py c43444a37a5a6755 ran · metamorphic tier: deterministic MIT (permissive)
arXiv:2507.00485 2025-07 (from id) azure-123/PNAct/safepo/common/model.py 832a4c764134d431 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty 14 Jun 2025 lemutisme/dr-sac/sac.py b3d3944663449c1a ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Intention-Conditioned Flow Occupancy Models 10 Jun 2025 chongyi-zheng/infom/agents/infom.py 17f5041025f7c2b2 unverified MIT (permissive)
Maximum Total Correlation Reinforcement Learning 22 May 2025 bangyou01/mtc/tcsac.py 8f578d66fd15da10 unverified no licence file found · pointer only
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models 15 Apr 2025 facebookresearch/metamotivo/metamotivo/fb/model.py 92468117ea8270ba unverified licence not identified · pointer only
Towards General-Purpose Model-Free Reinforcement Learning 27 Jan 2025 sfujim/TD7/TD7.py e41e9160d3bfd93f ran MIT (permissive)
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer 10 Dec 2024 lamda-bbo/macro-regulator/src/agent.py f29f84d9f963b618 unverified BSD-3-Clause (permissive)
Robot Policy Learning with Temporal Optimal Transport Reward 29 Oct 2024 fuyw/temporalot/models/temporalot.py bac5b63bccf2761a unverified no licence file found · pointer only
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control 11 Oct 2024 dee0512/Temporally-Layered-Architecture/model.py 464ed648e3d7a3e2 ran fingerprinted BSD-3-Clause (permissive)
Uncertainty-Aware Reward-Free Exploration with General Function Approximation 24 Jun 2024 uclaml/gfa-rfe/agent/dsquare.py 419af119bd09b0ac ran MIT (permissive)
Beyond Optimism: Exploration With Partially Observable Rewards 20 Jun 2024 AmiiThinks/mon_mdp_neurips24/src/actor.py bce144a0a54c2361 unverified CC-BY-4.0 · pointer only
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control 25 May 2024 sfujim/TD3/TD3.py 9c81de6b9c4c134f ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Revisiting Data Augmentation in Deep Reinforcement Learning 19 Feb 2024 jianshu-hu/drqv2/drqv2.py cc3f9517e01dd145 ran · metamorphic tier: deterministic MIT (permissive)
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization 30 Oct 2023 XuGW-Kevin/DrM/agents/drm.py ac279413d97dfbb0 ran · metamorphic tier: deterministic MIT (permissive)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption 19 Oct 2023 zzmtsvv/ORL/riql/riql.py 3a5956686dfd460b ran fingerprinted no licence file found · pointer only
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages 11 Oct 2023 Guozheng-Ma/Adaptive-Replay-Ratio/drqv2_adapt_rr.py 4f9c561e7f66c0aa ran · metamorphic tier: deterministic no licence file found · pointer only
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization 21 Jul 2023 zhengyinan-air/omiga/algos/OMIGA.py 5eb07edf75209baa ran no licence file found · pointer only
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning 11 Jun 2023 lamda-rl/prdc/prdc.py b6bad7ca8ac45549 ran fingerprinted no licence file found · pointer only
Preference-grounded Token-level Guidance for Language Model Fine-tuning 1 Jun 2023 yinyueqin/denserewardrlhf-ppo/denserlhf/trainer/ppo_utils/experience_maker.py 2c1a919b8596c263 unverified Apache-2.0 (permissive)
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search 20 May 2023 namansaxena9/ARO-DDPG/cheetah_run/ddpg_model.py 8dc8b64c468580f4 unverified no licence file found · pointer only
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids 15 Mar 2023 nicosquare/rl-energy-management/src/algos/rl/coma/d_simple_microgrid.py 9fe565930f928e18 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Extreme Q-Learning: MaxEnt RL without Entropy 5 Jan 2023 zzmtsvv/rl_task/eql/eql.py f7541cc0796ce882 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information 31 Oct 2022 manantomar/agent-centric-representations/acro.py 1de9ecd6db95db2e ran no licence file found · pointer only
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs 18 Sep 2022 khalednakhleh/deeptop/MDP/DeepTOP.py 3473662fd8d11551 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Robust Reinforcement Learning using Offline Data 10 Aug 2022 zaiyan-x/RFQI/rfqi.py bd43dccfb7a0ad6d ran · metamorphic tier: deterministic MIT (permissive)
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations 20 Jul 2022 zexusun/oilca-neurips23/algos/augment_DWBC.py b6455496f9ccd9d2 unverified no licence file found · pointer only
Learning Bellman Complete Representations for Offline Policy Evaluation 12 Jul 2022 causalml/bcrl/bcrl/agent.py 5b1fa9891b2abef9 ran MIT (permissive)
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge 17 Jun 2022 pku-rl/copl/src/core/ppo.py 7afc0befd6b15a83 unverified MIT (permissive)
Mildly Conservative Q-Learning for Offline Reinforcement Learning 9 Jun 2022 zzmtsvv/ORL/mcq/mcq.py 55a4cdf8fa60dd90 ran fingerprinted no licence file found · pointer only
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning 2 May 2022 csun001/CCLF/CCLF_sac.py 9d46b0bfcafbd714 unverified MIT (permissive)
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration 16 Mar 2022 yeshenpy/pmic/algorithms/mpe_new_maxminMADDPG.py 02d8b297accf97de ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning 17 Feb 2022 facebookresearch/drqv2/drqv2.py 23bd8540206300a8 ran · metamorphic tier: deterministic MIT (permissive)
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer 10 Feb 2022 xingyul/revolver/gym/SAC.py 2bafdd50987880d8 ran GPL-2.0 (copyleft) · pointer only
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching 4 Feb 2022 ryanxhr/dwbc/algos/DWBC.py da00c16c9fad3d61 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Offline Reinforcement Learning with Implicit Q-Learning 12 Oct 2021 orrivlin/implicit-q-learning/IQL.py 9a453c413229c3e8 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Offline Reinforcement Learning with Implicit Q-Learning 12 Oct 2021 Manchery/iql-pytorch/IQL.py 966c8f4b02ba3120 ran fingerprinted no licence file found · pointer only
Offline Reinforcement Learning with Implicit Q-Learning 12 Oct 2021 BY571/Implicit-Q-Learning/agent.py b6a1eedb944158c8 ran fingerprinted no licence file found · pointer only
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer 6 Oct 2021 yining043/VRP-DACT/nets/actor_network.py c62ea025f6578059 unverified MIT (permissive)
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble 4 Oct 2021 corl-team/CORL/algorithms/offline/edac.py 7f11d5ce17556f04 ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
Large Batch Experience Replay 4 Oct 2021 sureli/laber/LaBER/continuous/LABER_SAC.py 508f079e9d0ccf91 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment 26 Jul 2021 guojm14/HVF/reduce_var/mlp.py f9dab6339e71b2bb ran MIT (permissive)
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query 2 Mar 2021 CuthbertCai/Ask-Confirm/models/policy_model.py 8a7f1e20f75ba4f3 unverified no licence file found · pointer only
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model 15 Jan 2021 BY571/Randomized-Ensembled-Double-Q-learning-REDQ-/agent.py 89265e3225a6d513 ran fingerprinted no licence file found · pointer only
Softmax Deep Double Deterministic Policy Gradients 19 Oct 2020 ling-pan/SD3/SD3.py 62767acd88e18e64 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
Self-Supervised Policy Adaptation during Deployment 8 Jul 2020 nicklashansen/policy-adaptation-during-deployment/src/agent/agent.py d526a377580646ff ran · metamorphic tier: deterministic no licence file found · pointer only
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning 20 Jun 2020 trzhang0116/HRAC/hrac/hrac.py 1b8c1dbf0a21cb68 ran · metamorphic tier: invariant fingerprinted Apache-2.0 (permissive)
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets 16 Jun 2020 zzmtsvv/rl_task/awac/awac.py eecebb628e9b243d ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Conservative Q-Learning for Offline Reinforcement Learning 8 Jun 2020 BY571/CQL/CQL-SAC/agent.py 34ba8aa41bb7fa58 ran fingerprinted no licence file found · pointer only
Reinforcement Learning with Augmented Data 30 Apr 2020 MishaLaskin/rad/curl_sac.py 5aaa7c97de18af3a ran no licence file found · pointer only
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels 28 Apr 2020 xingyu-lin/softagent/drq/Drq.py 8ad237c6d1f93986 unverified no licence file found · pointer only
Balancing Training for Multilingual Neural Machine Translation 14 Apr 2020 cindyxinyiwang/DataSelection/src/actor.py 824df24cce12a367 ran no licence file found · pointer only
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods 11 Mar 2020 zwfightzw/Meta-Critic/TD3_DDPG_MC/DDPG_MC.py d263091df5df7826 ran · metamorphic tier: deterministic no licence file found · pointer only
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients 21 Feb 2020 uber-research/D3G/D3G/D3G.py 87d8bb6bd7e83fe9 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Effective Diversity in Population Based Reinforcement Learning 3 Feb 2020 holounic/DvD-TD3/td3/algorithm.py 01cff9d67cdcaecf ran fingerprinted no licence file found · pointer only
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction 3 Jun 2019 zzmtsvv/rl_task/bear/bear.py 434fd896deb0893a ran no licence file found · pointer only
Off-Policy Deep Reinforcement Learning without Exploration 7 Dec 2018 theSparta/off_policy_mujoco/RSEM.py a4c895a75dcac04b ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Off-Policy Deep Reinforcement Learning without Exploration 7 Dec 2018 maziarg/PrivAttack-BCQ/continuous_BCQ/BCQ.py fa0f609acc14b1b7 ran · metamorphic tier: deterministic MIT (permissive)
Off-Policy Deep Reinforcement Learning without Exploration 7 Dec 2018 thxsxth/POMDP_RLSepsis/RL/other RL attempts/BCQ_models.py f8f318e0c81d2112 ran no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 MatthieuSarkis/Portfolio-Optimization-and-Goal-Based-Investment-with-Reinforcement-Learning/src/agents.py de5e64dc2bfc6a33 ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 BY571/Soft-Actor-Critic-and-Extensions/files/Agent.py 5d8f81c210a0aacb ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 SaminYeasar/off_policy_ac/SAC/SAC.py dc01224a73ea8148 ran fingerprinted no licence file found · pointer only
Proximal Policy Optimization Algorithms 20 Jul 2017 bonniesjli/PPO-Reacher_UnityML/agent.py e9f1207fc08f9fa9 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Proximal Policy Optimization Algorithms 20 Jul 2017 bonniesjli/PPO_Reacher/agent.py 8fc0ce07edd32744 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Proximal Policy Optimization Algorithms 20 Jul 2017 Gregory-Eales/proximal-policy-optimization/ppo/modules/ppo.py c3cb4b39b7e82812 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Proximal Policy Optimization Algorithms 20 Jul 2017 marload/DeepRL-TensorFlow2/PPO/PPO_Continuous.py 54ccb8ae3f658c83 unverified Apache-2.0 (permissive)
Proximal Policy Optimization Algorithms 20 Jul 2017 InSpaceAI/RL-Zoo/PPO.py bf0c1da602f8a16d unverified no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 zowiezhang/stas/models/policy/COMA.py d33580612fa8578d ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 rainandwind1/MADDPG-reconstruct/MADDPG/model.py 394e91b566a8e7eb ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 MrDaubinet/collaboration-and-competition/maddpg.py 147d57177bbffdd9 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 starry-sky6688/MADDPG/maddpg/maddpg.py b1b715fc5cea22be ran fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 krasing/DRLearningCollaboration/failed_collaborative/ddpg_agent_multi_2.py ab8b87babe2b659e ran fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 petsol/MultiAgentCooperation_UnityAgent_MADDPG_Udacity/multiagent_resources.py a17bd67f978b7355 ran fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 isp1tze/MAProj/algo/maddpg/maddpg_agent.py cbd481c5cf284628 ran fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 bonniesjli/MADDPG_Tennis_UnityML/MADDPG.py af7b2cc00bcf3971 ran fingerprinted no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 thechrisyoon08/marl/MADDPG/maddpg.py 19cc670e3070c844 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 Ah31/maddpg_pytorch/MADDPG_model.py e0a77db60f82cb02 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 ksajan/DDPG-MAPE/multiagent-particle-envs/maddpg.py 85e19366b66e12c8 unverified no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 anonymous-iclr22/trust-region-in-multi-agent-reinforcement-learning/algorithms/happo_policy.py fe0a30f4af252b51 unverified MIT (permissive)
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 Remtasya/DDPG-Actor-Critic-Reinforcement-Learning-Reacher-Environment/ddpg_agent.py a83ecbc1e78102e4 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 bentrevett/pytorch-rl/n_step_a2c.py 75bd98e327fba9f3 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 InSpaceAI/RL-Zoo/A2C.py 4dd9b378deccacfd unverified no licence file found · pointer only
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 marload/DeepRL-TensorFlow2/A3C/A3C_Continuous.py 223dec3bdd457c46 unverified Apache-2.0 (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 ghliu/pytorch-ddpg/ddpg.py fb986aef8cb19dcb ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 iDataist/Continuous-Control-with-Deep-Deterministic-Policy-Gradient/ddpg_agent.py 64db7b42a6e83850 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 TheInfamousWayne/ddpg/ddpg.py 976480803a792876 ran · metamorphic tier: deterministic fingerprinted Apache-2.0 (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 J93T/TP4-DDPG/ddpg.py 6d718c5a05a53b10 ran · metamorphic tier: deterministic no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 HJDQN/HJQ/algorithms/ddpg/ddpg.py 4ea2dabac66df07c ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 IvanVigor/Deep-Deterministic-Policy-Gradient-Unity-Env/ddpg_agent.py 2233e3bf2203e01d ran · metamorphic tier: deterministic fingerprinted GPL-3.0 (copyleft) · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 baturaysaglam/ac-off-poc/DDPG & TD3/AC_Off_POC_DDPG.py 024ce7deaed96813 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 b06b01073/continuous-control/ddpg.py b7b4ba4db14ceff3 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 ZainRaza14/deepRL/DDPG/ddpg_agent.py 8062e958090e2e1f ran fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 madhur-tandon/RL-Project/agent.py c3081f2569beb64e ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 biemann/Continuous-Control/ddpg_agent.py 59b451ca369c1de8 ran fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 krasing/DRLearningContinuousControl/ddpg_agent.py dc8d86e2dc6fd389 ran fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 baturaysaglam/RIS-MISO-Deep-Reinforcement-Learning/DDPG.py 6eca632bf823e7db ran fingerprinted MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 SergiPonsa/Reinforcement-Learning-Sergi/ddpg pendulum/model_comented.py da2a0693988d4238 ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 hemilpanchiwala/Hindsight-Experience-Replay/ddpg_with_her/DDPGAgent.py 00d63e51f73faefb ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 krasing/DRLearningCollaboration/model.py b0866a4da4a62415 ran fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 claudeHifly/BipedalWalker-v3/DDPG/ddpg_agent.py 328c50f6e3095851 ran fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 wwydmanski/rl_tennis/brain/model.py 462527aca7c44cd5 ran fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 ZiyangY/IndProject-RL-in-Supply-chain/DDPG-based RNN/DDPG.py 1f1a916ff3cde3a5 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 iDataist/Tennis-With-Multi-Agent-Reinforcement/model.py d96d6110c00ab9d4 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 Philori22/DDPG-aigym/ddpg.py 8f5c14d98d39f3b9 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 SaminYeasar/off_policy_ac/DDPG/DDPG.py 200b44ea7ead9ab6 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 fshamshirdar/pytorch-rdpg/rdpg.py 958765de0feeec56 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 dan-lennox/ml-udacity-quadcopter-rl/agents/agent.py 8bd7d62053fbfae5 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 halajadallah/RL-Quadcopter_project/agents/agent_modified.py 75b2da574221eee2 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 InSpaceAI/RL-Zoo/DDPG.py 8afc63f093262b83 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 Gouet/DDPG_PendulumV1/ddpg.py 4abb7a0681b9f8e3 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 madvn/DDPG/ddpg/ddpg.py b9b27fa7acc7c73f unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 shahabi8/Deep-Reinforcement-Learning/DDGP.py ef0c12a6692597db unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 alathiya/RL-Quadcoptor-Flying/agents/agent.py f6231123b603e20f unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 dyth/doublegum/policies_cont/agents/DDPG.py c5cbbbbfdd3a367c unverified BSD-3-Clause (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 marload/DeepRL-TensorFlow2/DDPG/DDPG_Continuous.py 8f5f60d9f1d5e30f unverified Apache-2.0 (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 abbadka/quadcopter/agents/ddpg/agent.py 017ef34f0499756e unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 fhbzc/FishAgentSimulation/train_RL.py 0d51c1e5212918ec unverified no licence file found · pointer only
arXiv:ijcai2025_0648 BW297/FACD/model/FACD.py 698d2cb357caa103 ran · metamorphic tier: deterministic MIT (permissive)

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