Policy Learning

Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Reinforcement Learning with Almost Sure Constraints L4DC 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Reinforcement Learning with Stochastic Reward Machines AAAI 2022 Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning ICML 2022 REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer ICML 2022 Reward-Free Policy Space Compression for Reinforcement Learning AISTATS 2022 Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022 Reward Uncertainty for Exploration in Preference-based Reinforcement Learning ICLR 2022 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022 Robust Action Gap Increasing with Clipped Advantage Learning AAAI 2022 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Robust Imitation of a Few Demonstrations with a Backwards Model NeurIPS 2022 Robust Imitation via Mirror Descent Inverse Reinforcement Learning NeurIPS 2022 Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NeurIPS 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022 Same State, Different Task: Continual Reinforcement Learning without Interference AAAI 2022 Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Semi-infinitely Constrained Markov Decision Processes NeurIPS 2022 Sequence Model Imitation Learning with Unobserved Contexts NeurIPS 2022 Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR 2022