Policy Learning

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 Hierarchical Neural Dynamic Policies RSS 2021 Hierarchical Reinforcement Learning by Discovering Intrinsic Options ICLR 2021 Hierarchical Reinforcement Learning for Integrated Recommendation AAAI 2021 Hierarchical Reinforcement Learning with Timed Subgoals NeurIPS 2021 Hindsight Trust Region Policy Optimization IJCAI 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 How RL Agents Behave When Their Actions Are Modified AAAI 2021 Identifiability in inverse reinforcement learning NeurIPS 2021 Imitation with Neural Density Models NeurIPS 2021 Implicit Behavioral Cloning CoRL 2021 Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021 Independence-aware Advantage Estimation IJCAI 2021 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NeurIPS 2021 Invariant Causal Imitation Learning for Generalizable Policies NeurIPS 2021 Inverse Constrained Reinforcement Learning ICML 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NeurIPS 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Inverse Reinforcement Learning with Natural Language Goals AAAI 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021