Methods

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 Repeated Inverse Reinforcement Learning NeurIPS 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 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 and Nested Subgame Solving for Imperfect-Information Games NeurIPS 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Self-Critical Sequence Training for Image Captioning CVPR 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 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 State Aware Imitation Learning NeurIPS 2017 Successor Features for Transfer in Reinforcement Learning NeurIPS 2017 Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing EACL 2017