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reinforcement learning

5,245 papers

RL REINFORCE

Papers

Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Streamlined Dense Video Captioning CVPR 2019 StrokeNet: A Neural Painting Environment ICLR 2019 Structure Learning for Safe Policy Improvement IJCAI 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 Summary Level Training of Sentence Rewriting for Abstractive Summarization EMNLP 2019 Surveys without Questions: A Reinforcement Learning Approach AAAI 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019 Teaching Robots to Interact with Humans in a Smart Environment IJCAI 2019 The Expected-Length Model of Options IJCAI 2019 The Laplacian in RL: Learning Representations with Efficient Approximations ICLR 2019 The Natural Language of Actions ICML 2019 Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019 The Termination Critic AISTATS 2019 The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019 TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning ICML 2019 Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds ICML 2019 Towards Comprehensive Description Generation from Factual Attribute-value Tables ACL 2019 Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning ACML 2019 Towards Interpretable Reinforcement Learning Using Attention Augmented Agents NeurIPS 2019 Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NeurIPS 2019 Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search AAAI 2019 Trainable Undersampling for Class-Imbalance Learning AAAI 2019 Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 2019