Reinforcement Learning

Steady-State Policy Synthesis for Verifiable Control IJCAI 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Streamlined Dense Video Captioning CVPR 2019 Structured agents for physical construction ICML 2019 Structure Learning for Safe Policy Improvement IJCAI 2019 Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search IJCAI 2019 Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs AAAI 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 Supervised Policy Update for Deep Reinforcement Learning ICLR 2019 Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NeurIPS 2019 Surveys without Questions: A Reinforcement Learning Approach AAAI 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods AAAI 2019 Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019 Target-Based Temporal-Difference Learning ICML 2019 TarMAC: Targeted Multi-Agent Communication ICML 2019 Task-Agnostic Dynamics Priors for Deep Reinforcement Learning ICML 2019 Task Transfer by Preference-Based Cost Learning AAAI 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019 Teaching Robots to Interact with Humans in a Smart Environment IJCAI 2019 Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning NeurIPS 2019 The Expected-Length Model of Options IJCAI 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019