Reinforcement Learning

Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provable Hierarchical Imitation Learning via EM AISTATS 2021 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NeurIPS 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features NeurIPS 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021 Provably Efficient Algorithms for Multi-Objective Competitive RL ICML 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021 Provably Efficient Learning of Transferable Rewards ICML 2021 Provably efficient multi-task reinforcement learning with model transfer NeurIPS 2021 Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping ICML 2021 Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NeurIPS 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021 Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems L4DC 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 Q-learning with Logarithmic Regret AISTATS 2021 Quantifying Differences in Reward Functions ICLR 2021 Quantile Bandits for Best Arms Identification ICML 2021 Quantitative Day Trading from Natural Language using Reinforcement Learning NAACL 2021 Quantum algorithms for reinforcement learning with a generative model ICML 2021 Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model ICLR 2021 Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021