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 276–300 of 1918 papers

Title	Date	Tasks	Status	Score
Distributionally Robust Deep Q-Learning	May 25, 2025	Q-Learning	CodeCode Available	5
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks	May 3, 2021	Q-Learning	CodeCode Available	5
Double Q-PID algorithm for mobile robot control	Nov 1, 2018	Active LearningQ-Learning	CodeCode Available	5
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet	Dec 15, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	5
Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer	Feb 4, 2025	Q-LearningSMAC	CodeCode Available	5
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL	Jul 20, 2024	Few-Shot Text ClassificationQ-Learning	CodeCode Available	5
Designing Neural Network Architectures using Reinforcement Learning	Nov 7, 2016	General Classificationimage-classification	CodeCode Available	5
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture	Jan 13, 2019	Decision MakingQ-Learning	CodeCode Available	5
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning	Sep 15, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation	Jan 9, 2018	Autonomous DrivingAutonomous Navigation	CodeCode Available	5
Active inference: demystified and compared	Sep 24, 2019	Atari GamesOpenAI Gym	CodeCode Available	5
Deep Reinforcement Learning with a Natural Language Action Space	Nov 14, 2015	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods	Feb 28, 2018	Deep Reinforcement LearningDiversity	CodeCode Available	5
A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows	May 8, 2025	Autonomous NavigationHyperparameter Optimization	CodeCode Available	5
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems	Apr 20, 2023	Q-Learningreinforcement-learning	CodeCode Available	5
DeepTPI: Test Point Insertion with Deep Reinforcement Learning	Jun 7, 2022	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	5
Diagnosing Bottlenecks in Deep Q-learning Algorithms	Feb 26, 2019	continuous-controlContinuous Control	CodeCode Available	5
Deep Reinforcement Learning for Multi-class Imbalanced Training	May 24, 2022	Deep Reinforcement Learningimbalanced classification	CodeCode Available	5
A Multi-Agent Multi-Environment Mixed Q-Learning for Partially Decentralized Wireless Network Optimization	Sep 24, 2024	Q-Learning	CodeCode Available	5
Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering	May 19, 2021	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks	Sep 7, 2019	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations	Mar 6, 2024	Q-LearningReinforcement Learning (RL)	CodeCode Available	5
Deep Reinforcement Learning Based Parameter Control in Differential Evolution	May 20, 2019	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Deep Reinforcement Learning for Imbalanced Classification	Jan 5, 2019	ClassificationDecision Making	CodeCode Available	5
Deep reinforcement learning for time series: playing idealized trading games	Mar 11, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	5

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