Reinforcement Learning

Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017 Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision EMNLP 2017 Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NeurIPS 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Reinforced Video Captioning with Entailment Rewards EMNLP 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017 Search-based Neural Structured Learning for Sequential Question Answering ACL 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017 Semi-Supervised QA with Generative Domain-Adaptive Nets ACL 2017 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Sim-to-Real Robot Learning from Pixels with Progressive Nets CoRL 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 Teaching Machines to Describe Images with Natural Language Feedback NeurIPS 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CoRL 2017 Thinking Fast and Slow with Deep Learning and Tree Search NeurIPS 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CoRL 2017 Deep Exploration via Bootstrapped DQN NeurIPS 2016 End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016 Learning Simple Algorithms from Examples ICML 2016 Learning to Communicate with Deep Multi-Agent Reinforcement Learning NeurIPS 2016