Reinforcement Learning

Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Prioritized Level Replay ICML 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning 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 Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NeurIPS 2021 Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems L4DC 2021 Q-learning with Logarithmic Regret AISTATS 2021 Quantifying Differences in Reward Functions ICLR 2021 Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021 Reconciling Rewards with Predictive State Representations IJCAI 2021 ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Regularized Policies are Reward Robust AISTATS 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Reinforced History Backtracking for Conversational Question Answering AAAI 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021 Reinforcement Learning in Newcomblike Environments NeurIPS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021