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Policy Learning

2,633 papers

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Papers

Guiding Abstractive Dialogue Summarization with Content Planning EMNLP 2022 Habitat-Web: Learning Embodied Object-Search Strategies From Human Demonstrations at Scale CVPR 2022 Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies COLT 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) AAAI 2022 How to talk so AI will learn: Instructions, descriptions, and autonomy NeurIPS 2022 HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm CoRL 2022 Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation ICML 2022 Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning NeurIPS 2022 Imitating Past Successes can be Very Suboptimal NeurIPS 2022 Imitation Learning by Reinforcement Learning ICLR 2022 Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022 Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP ICML 2022 Improving Policy Learning via Language Dynamics Distillation NeurIPS 2022 Improving Policy Optimization with Generalist-Specialist Learning ICML 2022 Independent Natural Policy Gradient always converges in Markov Potential Games AISTATS 2022 Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022 Inductive synthesis of finite-state controllers for POMDPs UAI 2022 Inferring Lexicographically-Ordered Rewards from Preferences AAAI 2022 Inferring Rewards from Language in Context ACL 2022 Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes CoRL 2022 In-Hand Object Rotation via Rapid Motor Adaptation CoRL 2022 Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design NeurIPS 2022 Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning JMLR 2022 Is High Variance Unavoidable in RL? A Case Study in Continuous Control ICLR 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NeurIPS 2022