Methods

Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning L4DC 2023 Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning CoRL 2023 Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023 Prediction and Control in Continual Reinforcement Learning NeurIPS 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Prioritizing Samples in Reinforcement Learning with Reducible Loss NeurIPS 2023 Probabilistic Inference in Reinforcement Learning Done Right NeurIPS 2023 Probabilistic Robustness for Data Filtering EACL 2023 Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provable Sim-to-real Transfer in Continuous Domain with Partial Observations ICLR 2023 Provably Efficient Adversarial Imitation Learning with Unknown Transitions UAI 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023 Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning L4DC 2023 Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023 Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation L4DC 2023 Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NeurIPS 2023 Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023