Methods

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021 How RL Agents Behave When Their Actions Are Modified AAAI 2021 Identifiability in inverse reinforcement learning NeurIPS 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 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NeurIPS 2021 Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021 Independence-aware Advantage Estimation IJCAI 2021 Inference-Based Deterministic Messaging For Multi-Agent Communication AAAI 2021 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Information is Power: Intrinsic Control via Information Capture NeurIPS 2021 Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021 Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective COLT 2021 Intelligent and Learning Agents: Four Investigations IJCAI 2021 Interactive Learning from Activity Description ICML 2021