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Deep RL

3861 directly classified papers

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Papers

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning EMNLP 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP 2017
Reinforced Video Captioning with Entailment Rewards EMNLP 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017
Sentence Simplification with Deep Reinforcement Learning EMNLP 2017
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning IJCNLP 2017
Reinforcement mechanism design IJCAI 2017
Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017
Reinforcement Learning with Deep Energy-Based Policies ICML 2017
Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017
Count-Based Exploration with Neural Density Models ICML 2017
Curiosity-driven Exploration by Self-supervised Prediction ICML 2017
Robust Adversarial Reinforcement Learning ICML 2017
Accelerating Stochastic Composition Optimization JMLR 2017
Hierarchical Reinforcement Learning with Parameters CORL 2017
Mutual Alignment Transfer Learning CORL 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CORL 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017