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Q-Learning

The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances.

( Image credit: Playing Atari with Deep Reinforcement Learning )

Papers

Showing 8190 of 1918 papers

TitleStatusHype
Continuous control with deep reinforcement learningCode1
A Stochastic Game Framework for Efficient Energy Management in Microgrid NetworksCode1
Gradient Temporal-Difference Learning with Regularized CorrectionsCode1
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous ControlsCode1
Hybrid RL: Using Both Offline and Online Data Can Make RL EfficientCode1
Automated Cloud Provisioning on AWS using Deep Reinforcement LearningCode1
Reinforcement Learning in High-frequency Market MakingCode1
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19Code1
Is Q-learning Provably Efficient?Code1
Conservative Q-Learning for Offline Reinforcement LearningCode1
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