Deep RL

Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 Mutual Alignment Transfer Learning CoRL 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Neural Episodic Control ICML 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017 Reinforced Video Captioning with Entailment Rewards EMNLP 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Reinforcement Learning with a Corrupted Reward Channel IJCAI 2017 Reinforcement Learning with Deep Energy-Based Policies ICML 2017 Reinforcement mechanism design IJCAI 2017 Robust Adversarial Reinforcement Learning ICML 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NeurIPS 2017 Runtime Neural Pruning NeurIPS 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Semi-Supervised QA with Generative Domain-Adaptive Nets ACL 2017 Sentence Simplification with Deep Reinforcement Learning EMNLP 2017 Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017