Deep RL

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 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NeurIPS 2018 Meta-Gradient Reinforcement Learning NeurIPS 2018 Mining Evidences for Concept Stock Recommendation NAACL 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 Model-Based Reinforcement Learning via Meta-Policy Optimization CoRL 2018 Model-Free Trajectory-based Policy Optimization with Monotonic Improvement JMLR 2018 Motion Perception in Reinforcement Learning with Dynamic Objects CoRL 2018 Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018 Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards CoRL 2018 Multi-Reward Reinforced Summarization with Saliency and Entailment NAACL 2018 Multi-Shot Pedestrian Re-Identification via Sequential Decision Making CVPR 2018 M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search NeurIPS 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Neural Map: Structured Memory for Deep Reinforcement Learning ICLR 2018 Neural Math Word Problem Solver with Reinforcement Learning COLING 2018 Noisy Networks For Exploration ICLR 2018 Non-delusional Q-learning and value-iteration NeurIPS 2018 On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018