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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

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Showing 1511–1520 of 1918 papers

TitleStatusHype
Q-learning for POMDP: An application to learning locomotion gaits—0
Deep Coordination GraphsCode0
Visual Exploration and Energy-aware Path Planning via Reinforcement LearningCode0
CAQL: Continuous Action Q-Learning—0
Long-term planning, short-term adjustments—0
CAN ALTQ LEARN FASTER: EXPERIMENTS AND THEORY—0
Policy Tree Network—0
Striving for Simplicity in Off-Policy Deep Reinforcement Learning—0
QXplore: Q-Learning Exploration by Maximizing Temporal Difference Error—0
Off-policy Multi-step Q-learning—0
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