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ReplayBuffer

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

ReplayBuffer appears in the code Syntology harvested for 33 papers, as 83 distinct code bodies found in 83 places (a place is one code body under one paper). At least one of them ran in 23 of the papers; 1 of the code bodies carries 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 ReplayBuffer 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 59 of the 83 distinct code bodies named ReplayBuffer; 24 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
59ran
24unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 43 of the 83 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

33 papers shown of 33, newest first; 83 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. 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
Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning added by Syntology 2026-08 (from id) RS2002/MA-USFA/tsc/agent.py cfc56b7bea4330e3 unverified MIT (permissive)
Diffusion Policy with Behavioral Advantage Correction for Offline Reinforcement Learning added by Syntology 2026-08 (from id) sfujim/BCQ/discrete_BCQ/utils.py 2a282db4ff509a1c unverified MIT (permissive)
ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection added by Syntology 2026-08 (from id) CLendering/ReFP-AD/pipeline.py 91230af41ce76aa9 ran MIT (permissive)
QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning Nazmus Shakib Shadin 1[0000-0002-0999-924X] , Xinyue Zhang 1[0000-0002-4243-083X] , Jingyi Wang 2[0000-0002-4988-5626] , and Miao Pan 3[0000-0003-2138-4413] added by Syntology 2026-06 (from id) AIPO-Lab/QSplitFL/Capability_Aware_DQN_Implementation/dqn_split_agent.py e02b292fe78a631c ran no licence file found · pointer only
Debiased Model-based Representations for Sample-efficient Continuous Control added by Syntology 2026-05 (from id) dmksjfl/DR.Q/DRQ/DRQ.py 5ef134cb3440fdcb ran MIT (permissive)
SOPE: Stabilizing Off-Policy Evaluation for Online RL with Prior Data added by Syntology 2026-05 (from id) CarloRomeo427/SOPE/src/algos/agent_sope.py 068b007d0eb9bea3 ran MIT (permissive)
RL-ABC: Reinforcement Learning for Accelerator Beamline Control added by Syntology 2026-04 (from id) Anwar9Ibrahim/RL-ABC/rl_framework/Agents/DDPG.py 208064288fc2783c ran MIT (permissive)
Learning to Bet for Horizon-Aware Anytime-Valid Testing added by Syntology 2026-03 (from id) egetaga/learning-to-bet/dqn/models.py 906383c6649dbfea ran MIT (permissive)
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty 14 Jun 2025 lemutisme/dr-sac/sac.py 45c5e6c336c21050 unverified MIT (permissive)
Towards General-Purpose Model-Free Reinforcement Learning 27 Jan 2025 facebookresearch/MRQ/MRQ/MRQ.py 39dd84fd5db384b3 unverified licence not identified · pointer only
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning 4 Aug 2024 yhisaki/average-reward-drl/average_reward_drl/algorithms/rvi_sac.py 6e334ad3a7618566 unverified no licence file found · pointer only
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers 30 May 2024 kiyoung98/tps-dps/src/dps.py 564a155eb9ec3bee ran · metamorphic tier: deterministic no licence file found · pointer only
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning 24 May 2024 hansenhua/ollie-offline-to-online-imitation-learning/offline_to_online.py edb756571764039b ran no licence file found · pointer only
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities 9 Feb 2024 jarridrb/dem/dem/models/components/sde_integration.py c0238358b3127562 ran MIT (permissive)
Learning Uncertainty-Aware Temporally-Extended Actions 8 Feb 2024 oh-lab/UTE-Uncertainty-aware-Temporal-Extension-/chain_mdp/agent/temporal_extension.py 5023894548dbacbb ran Apache-2.0 (permissive)
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays 5 Feb 2024 qingyuanwunothing/ad-rl/AD-DQN.py 68200fece3c9d915 unverified no licence file found · pointer only
Weakly Coupled Deep Q-Networks 28 Oct 2023 ibrahim-elshar/WCDQN_NeurIPS/src/Inv_control/WCDQN.py 0a34c84d33066fee ran no licence file found · pointer only
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation 17 Jul 2023 tliu1997/rnac/train_rnac.py 31b7a842f737b97e ran no licence file found · pointer only
Distance Weighted Supervised Learning for Offline Interaction Data 26 Apr 2023 jhejna/dwsl/research/algs/dwsl.py 377a3792bec4c050 unverified MIT (permissive)
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification 7 Nov 2022 akimotolab/m2td3/M2TD3/m2td3.py badc218c65d7931c ran no licence file found · pointer only
Learning GFlowNets from partial episodes for improved convergence and stability 26 Sep 2022 gfnorg/gflownet/grid/toy_grid_dag.py d00f3663f26789a6 ran MIT (permissive)
Dropout Q-Functions for Doubly Efficient Reinforcement Learning 5 Oct 2021 watchernyu/REDQ/redq/algos/redq_sac.py 820da6f0b914ce98 ran MIT (permissive)
Offline Meta-Reinforcement Learning with Advantage Weighting 13 Aug 2020 eric-mitchell/macaw-min/impl.py 02080cb75a3041f8 unverified no licence file found · pointer only
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay 12 Jul 2020 sfujim/LAP-PAL/discrete/utils.py d60cce6245a34fcb unverified MIT (permissive)
Self-Imitation Learning via Generalized Lower Bound Q-learning 12 Jun 2020 junhyukoh/self-imitation-learning/baselines/common/self_imitation.py 92fcff634a9f6c9e ran MIT (permissive)
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning 2020-02 (from id) tianpeiyang/maptf_code/alg/option/option_ma_sro.py a6dfa17c8b218bdd ran no licence file found · pointer only
Dream to Control: Learning Behaviors by Latent Imagination 3 Dec 2019 zhixuan-lin/dreamer-pytorch/dreamer.py 8c761148be72a1af ran MIT (permissive)
Dream to Control: Learning Behaviors by Latent Imagination 3 Dec 2019 adityabingi/Dreamer/dreamer.py 9250128488be37e8 ran MIT (permissive)
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model 19 Nov 2019 dmiracle/muzero-starter/pseudocode.py 6ff1fe24a95ea773 unverified 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 ac5ecca5b7705f8a ran Apache-2.0 (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 kdally/fault-tolerant-flight-control-drl/fault_tolerant_flight_control_drl/agent/sac.py 8119b0afbe2d940e ran MIT (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 a6c39d1200737d3f ran MIT (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 yhisaki/average-reward-drl/average_reward_drl/algorithms/sac.py e9664791458e5ade ran no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 quantumiracle/Popular-RL-Algorithms/sac_v2.py 70249df825c62d7e ran Apache-2.0 (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 thomashirtz/soft-actor-critic/soft_actor_critic/agent.py 0020d85f4dbfb10b ran MIT (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 MrDaubinet/collaboration-and-competition/maddpg.py ae26aa48075ee6cb ran no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 baradist/multiagent-particle-envs/multiagent/ddpg/ddpg_agent.py c90519f77627be1f ran MIT (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 krasing/DRLearningCollaboration/failed_collaborative/ddpg_agent_multi_2.py 4cbc44a206f6120a ran no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 bonniesjli/MADDPG_Tennis_UnityML/MADDPG.py 21d74b782714cf9e ran no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 baoqianwang/iros22_darl1n/maddpg_o/maddpg_local/trainer/maddpg.py 0ec668ec81ebce4d unverified no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 EyaRhouma/collaboration-competition-MADDPG/MADDPG_agent.py 0fe6e65cdf5950a9 unverified no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 CharlotteMorrison/Baxter-Research/td3algorithm/priority-replay/prioritized_replay_buffer.py e13397d005876228 ran no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 emiled16/Beyond_prioritized_experience_replay/final_buffer.py 4dfb2bb869a28e56 ran no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 CharlotteMorrison/Baxter-VREP/td3/experience/priority_replay_buffer.py c2cbd2d0d7d66167 ran no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 tensorlayer/RLzoo/rlzoo/common/buffer.py f4455aa8614ee649 ran Apache-2.0 (permissive)
Prioritized Experience Replay 18 Nov 2015 atavakol/action-branching-agents/agents/bdq/deepq/replay_buffer.py f6c715a36c9b0278 ran MIT (permissive)
Prioritized Experience Replay 18 Nov 2015 Arrabonae/openai_DDDQN/replay.py 82024cb507cb1dee ran Apache-2.0 (permissive)
Prioritized Experience Replay 18 Nov 2015 CharlotteMorrison/Baxter-VREP-Version-2/td3/experience/priority_replay_buffer.py a1b54613a3985829 ran no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 MathPhysSim/PER-NAF/pernaf/pernaf/utils/prioritised_experience_replay.py 46cf03e4d4b628c3 ran MIT (permissive)
Prioritized Experience Replay 18 Nov 2015 SayhoKim/tetrisRL/lib/utils/replay_buffer.py 867fd67d42cbe6f4 ran no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 labmlai/annotated_deep_learning_paper_implementations/labml_nn/rl/dqn/replay_buffer.py 6e5e90f57a133b61 ran MIT (permissive)
Prioritized Experience Replay 18 Nov 2015 hill-a/stable-baselines/stable_baselines/common/buffers.py f5eb1be22a186f73 unverified MIT (permissive)
Prioritized Experience Replay 18 Nov 2015 seacevedo/ReinforcementLearningProjects/PER.py 4ec9642b187da0b4 unverified no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 Guillaume-Cr/lunar_lander_per/replay_buffer.py f426229e0c5e2d70 unverified no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 nbopardi/smb/dqn_utils.py 1f3901918f090c5e unverified no licence file found · pointer only
Prioritized Experience Replay 18 Nov 2015 Adrelf/DRL-navigation/utils/memory.py 7859b3965dc78ae3 unverified no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 philtabor/Deep-Q-Learning-Paper-To-Code/DDQN/ddqn_agent.py 2a2892343a3359ee ran MIT (permissive)
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 MEOWMEOW114/nd893-p1-navigation-banana/dqn/double_dqn_agent.py dcd7958b0ad16526 ran no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 marload/DeepRL-TensorFlow2/DoubleDQN/DoubleDQN_Discrete.py 56d9058560cd0b68 ran Apache-2.0 (permissive)
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 mohit8935/Deep-Q-Learning-Paper/DDQN/ddqn_agent.py 41d448d208226341 ran no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 Adrelf/DRL-navigation/brain/dqn_agent.py 0e225401249db6d9 ran no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 1jsingh/rl_navigation/agents/dqn_agent.py f07ed06c9c4c4e7c unverified MIT (permissive)
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 fengsterooni/dql/DDQN/ddqn_agent.py 15af333b2f369749 unverified no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 shehrum/RL_Navigation/dqn_agent.py fd4b196396e41a0f unverified no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 jeffery1236/Atari_DoubleDeepQNetwork/DDQAgent.py 28d5d41e56d53b63 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 yukezhu/tensorflow-reinforce/rl/pg_ddpg.py 3c7178cf937ba425 ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 dpoulopoulos/drl_collaborate_compete/ddpg_agent.py 1a3c5297309ff7b3 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 YoUNG824/DDPG/ddpg.py cbd6d4cba3c8f7b0 ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 liampetti/DDPG/ddpg.py 532a74ad7f880104 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 iDataist/Continuous-Control-with-Deep-Deterministic-Policy-Gradient/ddpg_agent.py 6258582b31c25005 ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 J93T/TP4-DDPG/ddpg.py 79dfb108cab48c77 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 dan-lennox/ml-udacity-quadcopter-rl/agents/agent.py 48908dfdd43f1c2f ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 HJDQN/HJQ/algorithms/ddpg/ddpg.py a15460ad3a6b391e ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 MathPhysSim/PER-NAF/pernaf/pernaf/naf.py d8fadcf1cbc892d5 ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 dfki-ric-underactuated-lab/torque_limited_simple_pendulum/software/python/simple_pendulum/reinforcement_learning/ddpg/ddpg.py 3869ba95ec3a2e1a ran BSD-3-Clause (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 madhur-tandon/RL-Project/agent.py 87674610395558bb ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 T3chy/DDPG/ddpg_torch.py 7ebcb237f3ac8b6b ran GPL-3.0 (copyleft) · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 alathiya/RL-Quadcoptor-Flying/agents/agent.py a1866c0223c9dca1 ran no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 marload/DeepRL-TensorFlow2/DDPG/DDPG_Continuous.py 031efd28ccd13e08 ran Apache-2.0 (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 bmeyers/VirtualMicrogridSegmentation/virtual_microgrids/algorithms/ddpg.py 88607f875726a410 ran · metamorphic tier: well formed fingerprinted BSD-2-Clause (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 denizmguen/IANNWTF2019-Project/ddpg.py 49ac8c4b2338f149 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 samuelmat19/DDPG-tf2/src/model.py 0d2b4efe0274fc66 unverified MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 Philori22/DDPG-aigym/ddpg.py 1229a5d8dea62487 unverified no licence file found · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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