Methods

Independent Policy Gradient Methods for Competitive Reinforcement Learning NeurIPS 2020 Induction of Subgoal Automata for Reinforcement Learning AAAI 2020 Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters ICML 2020 Inferring DQN structure for high-dimensional continuous control ICML 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Influence-Based Multi-Agent Exploration ICLR 2020 Information Theoretic Model Predictive Q-Learning L4DC 2020 Information Theoretic Regret Bounds for Online Nonlinear Control NeurIPS 2020 Instance-based Generalization in Reinforcement Learning NeurIPS 2020 Interactive Imitation Learning in State-Space CoRL 2020 Interactive Question Clarification in Dialogue via Reinforcement Learning COLING 2020 Interference and Generalization in Temporal Difference Learning ICML 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020 Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020 Intrinsic Reward Driven Imitation Learning via Generative Model ICML 2020 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 Inverse Reinforcement Learning from a Gradient-based Learner NeurIPS 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL IJCAI 2020 Is Long Horizon RL More Difficult Than Short Horizon RL? NeurIPS 2020 Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NeurIPS 2020 Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020 Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning CVPR 2020 Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model AAAI 2020 Joint Policy Search for Multi-agent Collaboration with Imperfect Information NeurIPS 2020