Reinforcement Learning

Learning Temporal Point Processes via Reinforcement Learning NeurIPS 2018 Learning the Reward Function for a Misspecified Model ICML 2018 Learning to Act in Decentralized Partially Observable MDPs ICML 2018 Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems ICML 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Learning to Infer Final Plans in Human Team Planning IJCAI 2018 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 Learning to Multi-Task by Active Sampling ICLR 2018 Learning to Navigate in Cities Without a Map NeurIPS 2018 Learning to search with MCTSnets ICML 2018 Learning to Share and Hide Intentions using Information Regularization NeurIPS 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 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Lifelong Inverse Reinforcement Learning NeurIPS 2018 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018 Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018 Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation EMNLP 2018 Markov Decision Processes with Continuous Side Information ALT 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018