offline reinforcement learning

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 2023 Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NeurIPS 2023 ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NeurIPS 2023 Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Residual Q-Learning: Offline and Online Policy Customization without Value NeurIPS 2023 Revisiting Bellman Errors for Offline Model Selection ICML 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning NeurIPS 2023 Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning NeurIPS 2023 Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning AAAI 2023 Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023 Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL ICLR 2023 Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023 SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning NeurIPS 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023 Supported Value Regularization for Offline Reinforcement Learning NeurIPS 2023 Survival Instinct in Offline Reinforcement Learning NeurIPS 2023 Synthetic Experience Replay NeurIPS 2023 The In-Sample Softmax for Offline Reinforcement Learning ICLR 2023 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023