Deep RL

Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games EMNLP 2020 Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NeurIPS 2020 Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning NeurIPS 2020 Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020 Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? NeurIPS 2020 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 Chaining Behaviors from Data with Model-Free Reinforcement Learning CoRL 2020 Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020 Combining Q-Learning and Search with Amortized Value Estimates ICLR 2020 Composing Elementary Discourse Units in Abstractive Summarization ACL 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 Constrained Markov Decision Processes via Backward Value Functions ICML 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Constrained Upper Confidence Reinforcement Learning L4DC 2020 Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020 Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning ICML 2020 Controlling Contact-Rich Manipulation Under Partial Observability RSS 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Cooperative Heterogeneous Deep Reinforcement Learning NeurIPS 2020