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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 1671–1680 of 1918 papers

TitleStatusHype
Finding the best design parameters for optical nanostructures using reinforcement learning—0
Assessing the Potential of Classical Q-learning in General Game PlayingCode0
Learning to Sketch with Deep Q Networks and Demonstrated Strokes—0
Learning to Reason—0
Reinforcement Evolutionary Learning Method for self-learning—0
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural NetworksCode0
Deep Quality-Value (DQV) LearningCode0
Reinforcement Learning in R—0
Hybrid Policies Using Inverse Rewards for Reinforcement Learning—0
What Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning—0
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