Methods

Constrained Policy Optimization ICML 2017 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 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 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NeurIPS 2017 DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CoRL 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 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction 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