Policy Learning

Policy Gradient With Serial Markov Chain Reasoning NeurIPS 2022 Policy improvement by planning with Gumbel ICLR 2022 Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022 Policy Optimization for Stochastic Shortest Path COLT 2022 Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems NeurIPS 2022 Policy Optimization with Stochastic Mirror Descent AAAI 2022 Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions AISTATS 2022 Possibility Before Utility: Learning And Using Hierarchical Affordances ICLR 2022 Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022 Provably Efficient Model-Free Constrained RL with Linear Function Approximation NeurIPS 2022 Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022 Proximal Point Imitation Learning NeurIPS 2022 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NeurIPS 2022 Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering EMNLP 2022 Receding Horizon Inverse Reinforcement Learning NeurIPS 2022 Recursive Reinforcement Learning NeurIPS 2022 Redeeming intrinsic rewards via constrained optimization NeurIPS 2022 Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2022 Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation ICML 2022 Regret guarantees for model-based reinforcement learning with long-term average constraints UAI 2022 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Reinforced Question Rewriting for Conversational Question Answering EMNLP 2022 Reinforcement Learning Explainability via Model Transforms (Student Abstract) AAAI 2022 Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution MLHC 2022 Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space NeurIPS 2022