| Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning | Sep 22, 2023 | counterfactualMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| Efficient Offline Policy Optimization with a Learned Model | Oct 12, 2022 | Offline RL | CodeCode Available | 1 | 5 |
| CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System | Apr 4, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Curriculum Offline Imitation Learning | Nov 3, 2021 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning | May 24, 2023 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning | Feb 6, 2024 | D4RLOffline 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 |
| Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information | Oct 31, 2022 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Extreme Q-Learning: MaxEnt RL without Entropy | Jan 5, 2023 | D4RLDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping | Sep 15, 2022 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| A Minimalist Approach to Offline Reinforcement Learning | Jun 12, 2021 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Conservative Offline Distributional Reinforcement Learning | Jul 12, 2021 | D4RLDistributional Reinforcement Learning | CodeCode Available | 1 | 5 |
| Conservative Q-Learning for Offline Reinforcement Learning | Jun 8, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Zero-Shot Reinforcement Learning from Low Quality Data | Sep 26, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning | Oct 11, 2022 | 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 |
| Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning | Dec 25, 2024 | Decision MakingOffline RL | CodeCode Available | 1 | 5 |
| Latent-Variable Advantage-Weighted Policy Optimization for Offline RL | Mar 16, 2022 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation | Jul 10, 2023 | Decision MakingInteractive Recommendation | CodeCode Available | 1 | 5 |
| GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments | Feb 3, 2025 | Efficient ExplorationGraph Neural Network | CodeCode Available | 1 | 5 |
| Behavior Transformers: Cloning k modes with one stone | Jun 22, 2022 | Object DetectionOffline RL | CodeCode Available | 1 | 5 |
| Guiding Online Reinforcement Learning with Action-Free Offline Pretraining | Jan 30, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL | Feb 24, 2022 | AllImitation Learning | CodeCode Available | 1 | 5 |
| ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts | May 15, 2025 | Continual LearningLanguage Modeling | CodeCode Available | 1 | 5 |
| Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning | Oct 25, 2022 | D4RLOffline RL | CodeCode Available | 1 | 5 |
