| d3rlpy: An Offline Deep Reinforcement Learning Library | Nov 6, 2021 | D4RLDeep Reinforcement Learning | CodeCode Available | 0 |
| A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective | Mar 12, 2024 | D4RLreinforcement-learning | CodeCode Available | 0 |
| Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning | Nov 7, 2024 | D4RLreinforcement-learning | CodeCode Available | 0 |
| Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning | Oct 15, 2024 | D4RLModel-based Reinforcement Learning | CodeCode Available | 0 |
| Pre-training with Synthetic Data Helps Offline Reinforcement Learning | Oct 1, 2023 | D4RLDeep Reinforcement Learning | CodeCode Available | 0 |
| Learning from Sparse Offline Datasets via Conservative Density Estimation | Jan 16, 2024 | D4RLDensity Estimation | CodeCode Available | 0 |
| TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets | Dec 5, 2022 | D4RLMuJoCo | CodeCode Available | 0 |
| Skill Decision Transformer | Jan 31, 2023 | D4RLDescriptive | CodeCode Available | 0 |
| Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model | Oct 27, 2024 | D4RLQ-Learning | CodeCode Available | 0 |
| Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL | Sep 8, 2022 | D4RLOffline RL | CodeCode Available | 0 |
| Conservative State Value Estimation for Offline Reinforcement Learning | Feb 14, 2023 | D4RLreinforcement-learning | CodeCode Available | 0 |
| A Pragmatic Look at Deep Imitation Learning | Aug 4, 2021 | Behavioural cloningD4RL | CodeCode Available | 0 |
| Hypercube Policy Regularization Framework for Offline Reinforcement Learning | Nov 7, 2024 | D4RLGeneral Reinforcement Learning | CodeCode Available | 0 |
| Decision Mamba Architectures | May 13, 2024 | D4RLImitation Learning | CodeCode Available | 0 |
| Stabilizing Extreme Q-learning by Maclaurin Expansion | Jun 7, 2024 | D4RLOffline RL | CodeCode Available | 0 |
| Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning | Apr 3, 2024 | D4RLreinforcement-learning | CodeCode Available | 0 |
| Solving Offline Reinforcement Learning with Decision Tree Regression | Jan 21, 2024 | D4RLFeature Importance | CodeCode Available | 0 |
| The Role of Deep Learning Regularizations on Actors in Offline RL | Sep 11, 2024 | D4RLOffline RL | CodeCode Available | 0 |
| Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination | Jun 16, 2022 | D4RLOffline RL | CodeCode Available | 0 |
| Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning | Jun 12, 2024 | D4RLMuJoCo | CodeCode Available | 0 |
| Directly Forecasting Belief for Reinforcement Learning with Delays | May 1, 2025 | D4RLMuJoCo | CodeCode Available | 0 |
| Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters | May 27, 2022 | D4RLOffline RL | CodeCode Available | 0 |
| Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning | Apr 6, 2024 | D4RLOffline RL | CodeCode Available | 0 |
| Diffusion Models as Optimizers for Efficient Planning in Offline RL | Jul 23, 2024 | D4RLDecision Making | CodeCode Available | 0 |
| CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy Optimization | Jun 18, 2025 | D4RLOffline RL | CodeCode Available | 0 |
| AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization | May 28, 2024 | D4RLOffline RL | CodeCode Available | 0 |
