| Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning | Apr 10, 2023 | D4RLData Augmentation | CodeCode Available | 0 |
| AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization | May 28, 2024 | D4RLOffline RL | CodeCode Available | 0 |
| Skill Decision Transformer | Jan 31, 2023 | D4RLDescriptive | CodeCode Available | 0 |
| Learning from Sparse Offline Datasets via Conservative Density Estimation | Jan 16, 2024 | D4RLDensity Estimation | CodeCode Available | 0 |
| Hypercube Policy Regularization Framework for Offline Reinforcement Learning | Nov 7, 2024 | D4RLGeneral Reinforcement Learning | CodeCode Available | 0 |
| Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning | Nov 7, 2024 | D4RLreinforcement-learning | CodeCode Available | 0 |
| Decision Mamba Architectures | May 13, 2024 | D4RLImitation Learning | CodeCode Available | 0 |
| Solving Offline Reinforcement Learning with Decision Tree Regression | Jan 21, 2024 | D4RLFeature Importance | CodeCode Available | 0 |
| TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets | Dec 5, 2022 | D4RLMuJoCo | CodeCode Available | 0 |
| Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning | Apr 3, 2024 | D4RLreinforcement-learning | CodeCode Available | 0 |
