Deep RL

Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 Parameter Space Noise for Exploration ICLR 2018 Paraphrase Generation with Deep Reinforcement Learning EMNLP 2018 Path-Level Network Transformation for Efficient Architecture Search ICML 2018 PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making IJCAI 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training IJCAI 2018 Policies Modulating Trajectory Generators CoRL 2018 Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NeurIPS 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Policy Optimization with Second-Order Advantage Information IJCAI 2018 Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NeurIPS 2018 Prediction Improves Simultaneous Neural Machine Translation EMNLP 2018 Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs ICML 2018 Q-learning with Nearest Neighbors NeurIPS 2018 QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018 Randomized Prior Functions for Deep Reinforcement Learning NeurIPS 2018 Recurrent World Models Facilitate Policy Evolution NeurIPS 2018 REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis NeurIPS 2018 Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018 Reinforced Continual Learning NeurIPS 2018 Reinforced Extractive Summarization with Question-Focused Rewards ACL 2018 Reinforced Mnemonic Reader for Machine Reading Comprehension IJCAI 2018 Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018 Reinforcement Cutting-Agent Learning for Video Object Segmentation CVPR 2018