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Deep RL

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Papers

Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017
Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017
End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017
Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017
Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017
Multi-Task Deep Reinforcement Learning for Continuous Action Control IJCAI 2017
Weighted Double Q-learning IJCAI 2017
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control IJCAI 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017
A Monte Carlo Tree Search approach to Active Malware Analysis IJCAI 2017
Interactive Narrative Personalization with Deep Reinforcement Learning IJCAI 2017
Learning Conversational Systems that Interleave Task and Non-Task Content IJCAI 2017
Reinforcement Learning with a Corrupted Reward Channel IJCAI 2017
On Thompson Sampling and Asymptotic Optimality IJCAI 2017
Value Iteration Networks IJCAI 2017
Reinforcement mechanism design IJCAI 2017
Curriculum Learning in Reinforcement Learning IJCAI 2017
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning IJCNLP 2017
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP 2017
Automatic Text Summarization Using Reinforcement Learning with Embedding Features IJCNLP 2017
Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning INTERSPEECH 2017
Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates INTERSPEECH 2017
Accelerating Stochastic Composition Optimization JMLR 2017
Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017