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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 1401–1410 of 1918 papers

TitleStatusHype
Q-Learning in Regularized Mean-field Games—0
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation—0
Deep Constrained Q-learning—0
Deep Reinforcement Learning with Weighted Q-Learning—0
Active Perception and Representation for Robotic Manipulation—0
Application of Deep Q-Network in Portfolio Management—0
A General Framework for Learning Mean-Field Games—0
Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints—0
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle—0
Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning—0
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