Reinforcement Learning

Boosted Fitted Q-Iteration ICML 2017 Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars EMNLP 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Coarse-to-Fine Question Answering for Long Documents ACL 2017 Cold-Start Reinforcement Learning with Softmax Policy Gradient NeurIPS 2017 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Counterfactual Data-Fusion for Online Reinforcement Learners ICML 2017 Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017 Curriculum Learning in Reinforcement Learning IJCAI 2017 DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CoRL 2017 Decoding with Value Networks for Neural Machine Translation NeurIPS 2017 DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning EMNLP 2017 Deep Reinforcement Learning from Human Preferences NeurIPS 2017 Distral: Robust multitask reinforcement learning NeurIPS 2017 Dynamic-Depth Context Tree Weighting NeurIPS 2017 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning NeurIPS 2017 Exploration-Exploitation in MDPs with Options AISTATS 2017 Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CoRL 2017 Fairness in Reinforcement Learning ICML 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion RSS 2017 Gradient-free Policy Architecture Search and Adaptation CoRL 2017 Grammatical Error Correction with Neural Reinforcement Learning IJCNLP 2017 Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning ACL 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017