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Deep RL

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Papers

Exploration by Distributional Reinforcement Learning IJCAI 2018 Extracting Action Sequences from Texts Based on Deep Reinforcement Learning IJCAI 2018 Fast Bellman Updates for Robust MDPs ICML 2018 Fast deep reinforcement learning using online adjustments from the past NeurIPS 2018 Feedback-Based Tree Search for Reinforcement Learning ICML 2018 Feudal Reinforcement Learning for Dialogue Management in Large Domains NAACL 2018 FFNet: Video Fast-Forwarding via Reinforcement Learning CVPR 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018 Fourier Policy Gradients ICML 2018 Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018 Genetic-Gated Networks for Deep Reinforcement Learning NeurIPS 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018 Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs IJCAI 2018 GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning CVPR 2018 Guide Actor-Critic for Continuous Control ICLR 2018 Hardware Conditioned Policies for Multi-Robot Transfer Learning NeurIPS 2018 Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning IJCAI 2018 Hierarchical Imitation and Reinforcement Learning ICML 2018 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018 Implicit Quantile Networks for Distributional Reinforcement Learning ICML 2018 Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty IJCAI 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NeurIPS 2018 Improving Reinforcement Learning with Human Input IJCAI 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018