reinforcement learning

Learning to Teach ICLR 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis ICLR 2018 Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain EMNLP 2018 Long short-term memory and Learning-to-learn in networks of spiking neurons NeurIPS 2018 Loss Functions for Multiset Prediction NeurIPS 2018 Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation EMNLP 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Memory Augmented Control Networks ICLR 2018 Meta-Gradient Reinforcement Learning NeurIPS 2018 META LEARNING SHARED HIERARCHIES ICLR 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 Model-free, Model-based, and General Intelligence IJCAI 2018 Model-Free Trajectory-based Policy Optimization with Monotonic Improvement JMLR 2018 Modular Continual Learning in a Unified Visual Environment ICLR 2018 Motion Perception in Reinforcement Learning with Dynamic Objects CoRL 2018 Multi-Hop Knowledge Graph Reasoning with Reward Shaping EMNLP 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018 Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards CoRL 2018 Multi-Shot Pedestrian Re-Identification via Sequential Decision Making CVPR 2018 N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning ICLR 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 NerveNet: Learning Structured Policy with Graph Neural Networks ICLR 2018