Reinforcement Learning

ParlAI: A Dialog Research Software Platform EMNLP 2017 Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 Real-Time Bidding with Side Information NeurIPS 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Reinforcement mechanism design IJCAI 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017 Sentence Simplification with Deep Reinforcement Learning EMNLP 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 Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing EACL 2017 Task-Oriented Query Reformulation with Reinforcement Learning EMNLP 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017 Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning CoRL 2017 Unifying Task Specification in Reinforcement Learning ICML 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017 Variational Policy for Guiding Point Processes ICML 2017 Adaptive optimal training of animal behavior NeurIPS 2016