Offline RL

Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Provably (More) Sample-Efficient Offline RL with Options NeurIPS 2023 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 Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NeurIPS 2023 Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Reliable Off-Policy Learning for Dosage Combinations 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 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NeurIPS 2023 Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems ACL 2023 Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL ICLR 2023 Semi-Offline Reinforcement Learning for Optimized Text Generation ICML 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023