Methods

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory NeurIPS 2020 Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? CVPR 2020 CapWAP: Image Captioning with a Purpose EMNLP 2020 Causal Discovery with Reinforcement Learning ICLR 2020 Causal Imitation Learning With Unobserved Confounders NeurIPS 2020 Chaining Behaviors from Data with Model-Free Reinforcement Learning CoRL 2020 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies ICML 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020 Combinatorial Pure Exploration for Dueling Bandit ICML 2020 Combining Cognitive Modeling and Reinforcement Learning for Clarification in Dialogue COLING 2020 Combining Q-Learning and Search with Amortized Value Estimates ICLR 2020 Communication Learning via Backpropagation in Discrete Channels with Unknown Noise AAAI 2020 Composing Elementary Discourse Units in Abstractive Summarization ACL 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations RSS 2020 Conditional Importance Sampling for Off-Policy Learning AISTATS 2020 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 Conservative Exploration in Reinforcement Learning AISTATS 2020 Conservative Q-Learning for Offline Reinforcement Learning NeurIPS 2020 Constrained Markov Decision Processes via Backward Value Functions ICML 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Constrained Reinforcement Learning via Policy Splitting ACML 2020 Constrained Upper Confidence Reinforcement Learning L4DC 2020