| DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning added by Syntology |
2026-05 (from id) |
poudel-bibek/DeCoR/ppo/models.py d90a784ee56240f3 |
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MIT (permissive) |
| Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning added by Syntology |
2026-03 (from id) |
datake/FAME/Atari/models/dino_simple.py beb42d440ccf2925 |
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| Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning added by Syntology |
2026-03 (from id) |
datake/FAME/Atari/models/FastMeta.py e01d3118f70d5b05 |
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| Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning added by Syntology |
2026-03 (from id) |
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| Small Reward Models via Backward Inference added by Syntology |
2026-02 (from id) |
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| RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning added by Syntology |
2026-01 (from id) |
alwaysbyx/RND-RL/rnd.py f507fed062498260 |
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| Language-based Trial and Error Falls Behind in the Era of Experience added by Syntology |
29 Jan 2026 |
identical code first harvested elsewhere beb42d440ccf2925 |
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| Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood |
10 Jun 2025 |
yqpqry/sqog/SQOG.py 47c37c5b075bacaf |
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| arXiv:2504.06386 |
2025-04 (from id) |
JacquesCloete/sport/src/sport/rl/algos/projected_ppo/core.py ad8ba118b16e67f2 |
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MIT (permissive) |
| Handling Delay in Real-Time Reinforcement Learning |
30 Mar 2025 |
identical code first harvested elsewhere e01d3118f70d5b05 |
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| From Demonstrations to Rewards: Alignment Without Explicit Human Preferences |
15 Mar 2025 |
Hong-Lab-UMN-ECE/IRLAlignment/visualize_tokens.py 9ad5922df265477f |
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MIT (permissive) |
| Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning |
14 Feb 2025 |
CognitiveAISystems/MIKASA-Robo/mikasa_robo_suite/rl/dataset_collectors/get_dataset_collectors_ckpt.py beb42d440ccf2925 |
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MIT (permissive) |
| Reevaluating Policy Gradient Methods for Imperfect-Information Games |
13 Feb 2025 |
identical code first harvested elsewhere beb42d440ccf2925 |
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| Reevaluating Policy Gradient Methods for Imperfect-Information Games |
13 Feb 2025 |
identical code first harvested elsewhere e01d3118f70d5b05 |
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| Offline Behavior Distillation |
30 Oct 2024 |
leaveslei/obd/data_lib/syndset.py f297771ebb6401b8 |
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| End-to-end Training for Recommendation with Language-based User Profiles |
24 Oct 2024 |
zhaolingao/langptune/src/langptune_gemma.py 9ad5922df265477f |
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MIT (permissive) |
| Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and Scale |
13 Oct 2024 |
anndvision/vsop-3d/vsop_3d/vsop_3d_procgen.py d3b66680bcde8d15 |
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MIT (permissive) |
| Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient |
11 Oct 2024 |
realwenlongwang/Drama/tools.py 3efc0819c7bc75e2 |
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| Craftium: An Extensible Framework for Creating Reinforcement Learning Environments |
4 Jul 2024 |
mikelma/craftium/cleanrl_ppo_lstm_train.py beb42d440ccf2925 |
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| Variational Delayed Policy Optimization |
23 May 2024 |
QingyuanWuNothing/VDPO/nn.py beb42d440ccf2925 |
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| No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO |
1 May 2024 |
claire-labo/no-representation-no-trust/src/cleanrl/ppo_atari_original.py beb42d440ccf2925 |
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MIT (permissive) |
| No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO |
1 May 2024 |
claire-labo/no-representation-no-trust/src/cleanrl/ppo_atari_1model.py 064fcfc6277bdc44 |
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MIT (permissive) |
| REBEL: Reinforcement Learning via Regressing Relative Rewards |
25 Apr 2024 |
zhaolingao/rebel/src/tldr/rebel.py 9ad5922df265477f |
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Apache-2.0 (permissive) |
| Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning |
16 Apr 2024 |
panxulab/MARL-CoopTS/components/network.py 3a9ab37bf0498c42 |
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MIT (permissive) |
| Dataset Reset Policy Optimization for RLHF |
12 Apr 2024 |
identical code first harvested elsewhere 9ad5922df265477f |
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| Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection |
10 Apr 2024 |
linasnas/dexter/src/train_test_detector_discrete_env.py 244a24e0c333afbe |
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| The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization |
24 Mar 2024 |
vwxyzjn/summarize_from_feedback_details/summarize_from_feedback_details/ppo.py 9ad5922df265477f |
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MIT (permissive) |
| Averaging $n$-step Returns Reduces Variance in Reinforcement Learning |
6 Feb 2024 |
brett-daley/averaging-nstep-returns/run_ppo.py beb42d440ccf2925 |
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MIT (permissive) |
| Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays |
5 Feb 2024 |
QingyuanWuNothing/AD-RL/nn.py beb42d440ccf2925 |
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| True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning |
25 Jan 2024 |
weihaotan/twosome/twosome/overcooked/ppo_llm_pomdp.py beb42d440ccf2925 |
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| True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning |
25 Jan 2024 |
weihaotan/twosome/twosome/overcooked/policy_pomdp.py e01d3118f70d5b05 |
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| Learning to Act without Actions |
17 Dec 2023 |
schmidtdominik/LAPO/lapo/models.py 79a9507515948442 |
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| Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks |
26 Oct 2023 |
RyanNavillus/PPO-v3/ppo_v3/ppo_atari_envpool_resnet.py beb42d440ccf2925 |
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Apache-2.0 (permissive) |
| Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control |
26 Sep 2023 |
nathanrahn/return-landscapes/run_algorithm/experiments/ppo_atari_envpool.py beb42d440ccf2925 |
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| Learning to Identify Critical States for Reinforcement Learning from Videos |
15 Aug 2023 |
ai-initiative-kaust/videorlcs/Policy_Improvement/Atari/atari_network.py 372e9511cee496ef |
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| Learning Diverse Risk Preferences in Population-based Self-play |
19 May 2023 |
identical code first harvested elsewhere beb42d440ccf2925 |
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| MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder |
8 Mar 2023 |
ucamrl/eqs/omelette-original/rejoice/networks.py e01d3118f70d5b05 |
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MIT (permissive) |
| Robust Policy Optimization in Deep Reinforcement Learning |
14 Dec 2022 |
identical code first harvested elsewhere beb42d440ccf2925 |
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| Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning |
4 Oct 2022 |
jaggbow/saf/src/policies/saf.py beb42d440ccf2925 |
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| EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine |
21 Jun 2022 |
vwxyzjn/envpool-cleanrl/ppo_atari_envpool.py beb42d440ccf2925 |
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MIT (permissive) |
| CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms |
16 Nov 2021 |
identical code first harvested elsewhere beb42d440ccf2925 |
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| Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch |
4 Nov 2021 |
ShangtongZhang/DeepRL/deep_rl/network/network_utils.py e47770c24cec6408 |
unverified |
MIT (permissive) |
| Randomized Exploration for Reinforcement Learning with General Value Function Approximation |
15 Jun 2021 |
qlan3/Explorer/components/network.py 3a9ab37bf0498c42 |
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MIT (permissive) |
| Reinforcement Learning with Convex Constraints |
21 Jun 2019 |
xkianteb/ApproPO/ApproPO/nets.py e47770c24cec6408 |
unverified |
MIT (permissive) |
| Meta-Gradient Reinforcement Learning |
24 May 2018 |
RobvanGastel/meta-rl-algorithms/utils/misc.py e12d84ba1f73ff01 |
unverified |
MIT (permissive) |
| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks |
9 Mar 2017 |
Octavio-Pappalardo/MAML_for_RL_pytorch/FO-MAML_distributed/network.py e01d3118f70d5b05 |
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MIT (permissive) |
| Learning to reinforcement learn |
17 Nov 2016 |
identical code first harvested elsewhere e01d3118f70d5b05 |
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| RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning |
9 Nov 2016 |
Octavio-Pappalardo/RL2-implementation-pytorch/agent_and_tbpttPPO.py e01d3118f70d5b05 |
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MIT (permissive) |
| arXiv:openreview_KBt9iIfQAi |
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yanmluk/causal-xrl/cxrl_microRTS/lib/gym_microrts_rl/env_tools.py e01d3118f70d5b05 |
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MIT (permissive) |
| arXiv:aaai_29188 |
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Jackory/RPBT/toyexample/rppo.py beb42d440ccf2925 |
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MIT (permissive) |
| arXiv:2024.acl-long.729 |
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xjw-nlp/SimCAS/modeling_bart_ours.py 3cd6d9bbebd8f0fe |
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Apache-2.0 (permissive) |