Reinforcement Learning

Hierarchical Skills for Efficient Exploration NeurIPS 2021 High Confidence Generalization for Reinforcement Learning ICML 2021 Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning AISTATS 2021 Hindsight Trust Region Policy Optimization IJCAI 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 History Aware Multimodal Transformer for Vision-and-Language Navigation NeurIPS 2021 Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation NeurIPS 2021 HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing RSS 2021 How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021 How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021 How RL Agents Behave When Their Actions Are Modified AAAI 2021 How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds NAACL 2021 Identifiability in inverse reinforcement learning NeurIPS 2021 IFDDS: An Anti-fraud Outbound Robot AAAI 2021 iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks CoRL 2021 Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network AAAI 2021 Imitation by Predicting Observations ICML 2021 Imitation with Neural Density Models NeurIPS 2021 Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021 Implicit Behavioral Cloning CoRL 2021 Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning EACL 2021 Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NeurIPS 2021 Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021