| 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 |
