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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018
Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018
Path-Level Network Transformation for Efficient Architecture Search ICML 2018
Scalable Bilinear Pi Learning Using State and Action Features ICML 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation ICML 2018
Coordinated Exploration in Concurrent Reinforcement Learning ICML 2018
Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018
Practical Contextual Bandits with Regression Oracles ICML 2018
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning ICML 2018
Clipped Action Policy Gradient ICML 2018
Visualizing and Understanding Atari Agents ICML 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018
Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018
Policy Optimization with Demonstrations ICML 2018
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018
Configurable Markov Decision Processes ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018
Time Limits in Reinforcement Learning ICML 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
An Inference-Based Policy Gradient Method for Learning Options ICML 2018
Structured Control Nets for Deep Reinforcement Learning ICML 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018