| Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets | Oct 6, 2023 | D4RLDecision Making | CodeCode Available | 1 | 5 |
| An Optimistic Perspective on Offline Deep Reinforcement Learning | Jan 1, 2020 | Atari GamesDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes | Oct 12, 2021 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning | Jun 22, 2023 | Data AugmentationOffline RL | CodeCode Available | 1 | 5 |
| Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning | Dec 25, 2024 | Decision MakingOffline RL | CodeCode Available | 1 | 5 |
| Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning | Sep 22, 2023 | counterfactualMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| cosFormer: Rethinking Softmax in Attention | Feb 17, 2022 | D4RLLanguage Modeling | CodeCode Available | 1 | 5 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 | 5 |
| Critic Regularized Regression | Jun 26, 2020 | Offline RLregression | CodeCode Available | 1 | 5 |
| Curriculum Offline Imitation Learning | Nov 3, 2021 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search | May 24, 2024 | Code GenerationLanguage Modelling | CodeCode Available | 1 | 5 |
| Zero-Shot Reinforcement Learning from Low Quality Data | Sep 26, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Conservative Q-Learning for Offline Reinforcement Learning | Jun 8, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning | Oct 11, 2022 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting | Jun 22, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Conservative Offline Distributional Reinforcement Learning | Jul 12, 2021 | D4RLDistributional Reinforcement Learning | CodeCode Available | 1 | 5 |
| Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning | Mar 9, 2023 | Offline RLQ-Learning | CodeCode Available | 1 | 5 |
| Acme: A Research Framework for Distributed Reinforcement Learning | Jun 1, 2020 | Deep Reinforcement LearningDQN Replay Dataset | CodeCode Available | 1 | 5 |
| Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization | Jun 5, 2020 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning | Sep 29, 2023 | Image GenerationOffline RL | CodeCode Available | 1 | 5 |
| Adversarially Trained Actor Critic for Offline Reinforcement Learning | Feb 5, 2022 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Diffusion Policies creating a Trust Region for Offline Reinforcement Learning | May 30, 2024 | D4RLDenoising | CodeCode Available | 1 | 5 |
| Federated Ensemble-Directed Offline Reinforcement Learning | May 4, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning | Oct 30, 2023 | Decision MakingOffline RL | CodeCode Available | 1 | 5 |
| Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning | Jun 7, 2021 | Multi-agent Reinforcement LearningOffline RL | CodeCode Available | 1 | 5 |
