Policy Learning

Relative Variational Intrinsic Control AAAI 2021 Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NeurIPS 2021 Replay-Guided Adversarial Environment Design NeurIPS 2021 Reset-Free Lifelong Learning with Skill-Space Planning ICLR 2021 [RETRACTED] WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue ACL 2021 Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021 Reward-Constrained Behavior Cloning IJCAI 2021 Reward is enough for convex MDPs NeurIPS 2021 RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021 Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures JMLR 2021 RMP2: A Structured Composable Policy Class for Robot Learning RSS 2021 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations IJCAI 2021 Robust Asymmetric Learning in POMDPs ICML 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Robust Predictable Control NeurIPS 2021 Robust reinforcement learning under minimax regret for green security UAI 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021 Safe Policy Optimization with Local Generalized Linear Function Approximations NeurIPS 2021 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Sample Complexity of Policy Gradient Finding Second-Order Stationary Points AAAI 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NeurIPS 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021