| When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning | Feb 15, 2023 | Autonomous Drivingcontinuous-control | CodeCode Available | 1 |
| Conservative State Value Estimation for Offline Reinforcement Learning | Feb 14, 2023 | D4RLreinforcement-learning | CodeCode Available | 0 |
| Skill Decision Transformer | Jan 31, 2023 | D4RLDescriptive | CodeCode Available | 0 |
| Anti-Exploration by Random Network Distillation | Jan 31, 2023 | D4RL | CodeCode Available | 1 |
| Improving Behavioural Cloning with Positive Unlabeled Learning | Jan 27, 2023 | Behavioural cloningD4RL | —Unverified | 0 |
| Model-based Offline Reinforcement Learning with Local Misspecification | Jan 26, 2023 | D4RLmodel | —Unverified | 0 |
| Extreme Q-Learning: MaxEnt RL without Entropy | Jan 5, 2023 | D4RLDeep Reinforcement Learning | CodeCode Available | 1 |
| Model-based trajectory stitching for improved behavioural cloning and its applications | Dec 8, 2022 | Behavioural cloningBenchmarking | —Unverified | 0 |
| TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets | Dec 5, 2022 | D4RLMuJoCo | CodeCode Available | 0 |
| Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery | Dec 2, 2022 | D4RLreinforcement-learning | —Unverified | 0 |
| Offline Reinforcement Learning with Closed-Form Policy Improvement Operators | Nov 29, 2022 | D4RLForm | —Unverified | 0 |
| Offline Reinforcement Learning with Adaptive Behavior Regularization | Nov 15, 2022 | D4RLOffline RL | —Unverified | 0 |
| Contextual Transformer for Offline Meta Reinforcement Learning | Nov 15, 2022 | D4RLMeta Reinforcement Learning | —Unverified | 0 |
| Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning | Oct 25, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation | Oct 19, 2022 | D4RLMuJoCo | —Unverified | 0 |
| Boosting Offline Reinforcement Learning via Data Rebalancing | Oct 17, 2022 | D4RLOffline RL | —Unverified | 0 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| Mutual Information Regularized Offline Reinforcement Learning | Oct 14, 2022 | D4RLOffline RL | CodeCode Available | 0 |
| CORL: Research-oriented Deep Offline Reinforcement Learning Library | Oct 13, 2022 | BenchmarkingD4RL | CodeCode Available | 3 |
| Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief | Oct 13, 2022 | D4RLOffline RL | CodeCode Available | 0 |
| Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories | Oct 12, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| State Advantage Weighting for Offline RL | Oct 9, 2022 | D4RLOffline RL | —Unverified | 0 |
| Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization | Oct 7, 2022 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling | Sep 29, 2022 | Computational EfficiencyD4RL | CodeCode Available | 1 |
| DCE: Offline Reinforcement Learning With Double Conservative Estimates | Sep 27, 2022 | Computational EfficiencyD4RL | —Unverified | 0 |
