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Deep RL

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Papers

Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019 Hindsight Credit Assignment NeurIPS 2019 Historical Text Normalization with Delayed Rewards ACL 2019 HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints CoRL 2019 HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving ICML 2019 How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019 How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019 Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019 Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019 Imitation Learning for Human Pose Prediction ICCV 2019 Imitation-Projected Programmatic Reinforcement Learning NeurIPS 2019 Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019 Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning EMNLP 2019 InfoBot: Transfer and Exploration via the Information Bottleneck ICLR 2019 Information asymmetry in KL-regularized RL ICLR 2019 Information-Directed Exploration for Deep Reinforcement Learning ICLR 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Interactive Language Learning by Question Answering EMNLP 2019 Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning AAAI 2019 Interval timing in deep reinforcement learning agents NeurIPS 2019 IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs AAAI 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NeurIPS 2019