Methods

Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017 Adaptive Batch Size for Safe Policy Gradients NeurIPS 2017 Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning EMNLP 2017 A Joint Speaker-Listener-Reinforcer Model for Referring Expressions CVPR 2017 A Monte Carlo Tree Search approach to Active Malware Analysis IJCAI 2017 A multi-agent reinforcement learning model of common-pool resource appropriation NeurIPS 2017 An Alternative Softmax Operator for Reinforcement Learning ICML 2017 An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP 2017 Approximate Value Iteration with Temporally Extended Actions (Extended Abstract) IJCAI 2017 A Reinforcement Learning Approach to the View Planning Problem CVPR 2017 A Survey of Preference-Based Reinforcement Learning Methods JMLR 2017 Attention-Aware Face Hallucination via Deep Reinforcement Learning CVPR 2017 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning NeurIPS 2017 Automatic Text Summarization Using Reinforcement Learning with Embedding Features IJCNLP 2017 Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017 Boltzmann Exploration Done Right NeurIPS 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Budget-Aware Deep Semantic Video Segmentation CVPR 2017 CAD2RL: Real Single-Image Flight Without a Single Real Image RSS 2017 COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs IJCAI 2017 Cold-Start Reinforcement Learning with Softmax Policy Gradient NeurIPS 2017 Collaborative Deep Reinforcement Learning for Joint Object Search CVPR 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017