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Deep RL

3861 directly classified papers

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Papers

Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019
Reinforcement Learning Experience Reuse with Policy Residual Representation IJCAI 2019
Experience Replay Optimization IJCAI 2019
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control IJCAI 2019
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks IJCAI 2019
Planning with Expectation Models IJCAI 2019
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning IJCAI 2019
Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning IJCAI 2019
Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019
Monte Carlo Tree Search for Policy Optimization IJCAI 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy IJCAI 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning IJCAI 2019
Assumed Density Filtering Q-learning IJCAI 2019
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets IJCAI 2019
Using Natural Language for Reward Shaping in Reinforcement Learning IJCAI 2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces IJCAI 2019
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning IJCAI 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments IJCAI 2019
The Expected-Length Model of Options IJCAI 2019
DeltaDou: Expert-level Doudizhu AI through Self-play IJCAI 2019
Exploring the Task Cooperation in Multi-goal Visual Navigation IJCAI 2019
Pun-GAN: Generative Adversarial Network for Pun Generation EMNLP 2019