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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 381–390 of 1918 papers

Title	Date	Tasks	Status	Hype	Score
Deep Q-learning from Demonstrations	Apr 12, 2017	Decision MakingDeep Reinforcement Learning	CodeCode Available	0	5
Deep Q-Learning for Nash Equilibria: Nash-DQN	Apr 23, 2019	Q-LearningReinforcement Learning	CodeCode Available	0	5
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data	Oct 8, 2023	Autonomous DrivingQ-Learning	CodeCode Available	0	5
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection	Nov 27, 2021	Intrusion DetectionNetwork Intrusion Detection	CodeCode Available	0	5
Deep Q-learning: a robust control approach	Jan 21, 2022	OpenAI GymQ-Learning	CodeCode Available	0	5
Deep Q learning for fooling neural networks	Nov 13, 2018	Q-LearningReinforcement Learning	CodeCode Available	0	5
Deep Quality-Value (DQV) Learning	Sep 30, 2018	Atari GamesDeep Reinforcement Learning	CodeCode Available	0	5
DeepTPI: Test Point Insertion with Deep Reinforcement Learning	Jun 7, 2022	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	0	5
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors	Jun 28, 2024	Car RacingQ-Learning	CodeCode Available	0	5
Deep Coordination Graphs	Sep 27, 2019	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	0	5

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