Reinforcement Learning

Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Entity Abstraction in Visual Model-Based Reinforcement Learning CoRL 2019 Environment Probing Interaction Policies ICLR 2019 Episodic Curiosity through Reachability ICLR 2019 Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits NeurIPS 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019 Evaluating Rewards for Question Generation Models NAACL 2019 Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games AAAI 2019 Experience-Embedded Visual Foresight CoRL 2019 Experience Replay for Continual Learning NeurIPS 2019 Experience Replay Optimization IJCAI 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 Explicitly Coordinated Policy Iteration IJCAI 2019 Explicit Planning for Efficient Exploration in Reinforcement Learning NeurIPS 2019 Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019 Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019 Exploration Conscious Reinforcement Learning Revisited ICML 2019 Exploration via Hindsight Goal Generation NeurIPS 2019 Exploring Diverse Expressions for Paraphrase Generation EMNLP 2019 Exploring the Limitations of Behavior Cloning for Autonomous Driving ICCV 2019 Exploring the Task Cooperation in Multi-goal Visual Navigation IJCAI 2019 Expressive Real-Time Intersection Scheduling AAAI 2019 Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations ICML 2019 Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving IJCAI 2019 Fake It Till You Make It: Learning-Compatible Performance Support UAI 2019