Reinforcement Learning

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NeurIPS 2022 PLATO: Predicting Latent Affordances Through Object-Centric Play CoRL 2022 Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning RSS 2022 PLM-based World Models for Text-based Games EMNLP 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022 Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach JMLR 2022 Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms JMLR 2022 Policy Gradient Method For Robust Reinforcement Learning ICML 2022 Policy Gradients Incorporating the Future ICLR 2022 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 Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 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 Linear Temporal Logic Constraints NeurIPS 2022 Policy Optimization with Stochastic Mirror Descent AAAI 2022 Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions AISTATS 2022 PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning CVPR 2022 PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision CVPR 2022 Possibility Before Utility: Learning And Using Hierarchical Affordances ICLR 2022 PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems L4DC 2022 Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NeurIPS 2022