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Deep RL

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Papers

Collaborative Deep Reinforcement Learning for Joint Object Search CVPR 2017 Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Count-Based Exploration with Neural Density Models ICML 2017 Curiosity-driven Exploration by Self-supervised Prediction ICML 2017 Curriculum Learning in Reinforcement Learning IJCAI 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017 Decoding with Value Networks for Neural Machine Translation NeurIPS 2017 Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos CVPR 2017 Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability ICML 2017 DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning EMNLP 2017 Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017 Deep Reinforcement Learning from Human Preferences NeurIPS 2017 Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates Interspeech 2017 Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection CVPR 2017 Device Placement Optimization with Reinforcement Learning ICML 2017 Distral: Robust multitask reinforcement learning NeurIPS 2017 Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning Interspeech 2017 DSAC - Differentiable RANSAC for Camera Localization CVPR 2017 Dynamic-Depth Context Tree Weighting NeurIPS 2017 Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions IJCAI 2017 End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning NeurIPS 2017 #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning NeurIPS 2017