Applications

Learning to Navigate in Cities Without a Map NeurIPS 2018 Learning to search with MCTSnets ICML 2018 Learning Unmanned Aerial Vehicle Control for Autonomous Target Following IJCAI 2018 Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NeurIPS 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018 META LEARNING SHARED HIERARCHIES ICLR 2018 Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes IJCAI 2018 Multi-modal Predicate Identification using Dynamically Learned Robot Controllers IJCAI 2018 Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search IJCAI 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making NeurIPS 2018 Noisy Networks For Exploration ICLR 2018 No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ACL 2018 Object-Oriented Dynamics Predictor NeurIPS 2018 Open Loop Execution of Tree-Search Algorithms IJCAI 2018 Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back) IJCAI 2018 Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 Playing hard exploration games by watching YouTube NeurIPS 2018 Policies Modulating Trajectory Generators CoRL 2018 Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018 Policy Optimization with Demonstrations ICML 2018 Programmatically Interpretable Reinforcement Learning ICML 2018