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 151–175 of 1918 papers

Title	Date	Tasks	Status	Hype	Score
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning	May 2, 2022	Data AugmentationQ-Learning	CodeCode Available	1	5
Multi-Agent Trust Region Learning	Jan 1, 2021	Atari GamesMuJoCo	CodeCode Available	1	5
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning	Mar 9, 2023	Offline RLQ-Learning	CodeCode Available	1	5
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods	Sep 22, 2021	continuous-controlContinuous Control	CodeCode Available	0	5
Evolution of cooperation in a bimodal mixture of conditional cooperators	Feb 11, 2025	Q-Learning	CodeCode Available	0	5
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning	Jul 5, 2021	Atari GamesDeep Reinforcement Learning	CodeCode Available	0	5
Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of Mind	Nov 11, 2024	Q-Learning	CodeCode Available	0	5
Efficient Model-free Reinforcement Learning in Metric Spaces	May 1, 2019	Q-Learningreinforcement-learning	CodeCode Available	0	5
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management	Feb 18, 2018	Deep Reinforcement LearningManagement	CodeCode Available	0	5
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization	Dec 10, 2023	Q-LearningReinforcement Learning (RL)	CodeCode Available	0	5
DynamicLight: Two-Stage Dynamic Traffic Signal Timing	Nov 2, 2022	Q-LearningReinforcement Learning (RL)	CodeCode Available	0	5
Dynamic control of self-assembly of quasicrystalline structures through reinforcement learning	Sep 13, 2023	Q-Learningreinforcement-learning	CodeCode Available	0	5
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks	Nov 21, 2022	Q-Learningreinforcement-learning	CodeCode Available	0	5
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning	Sep 10, 2024	Deep Reinforcement LearningOpenAI Gym	CodeCode Available	0	5
Double Q-PID algorithm for mobile robot control	Nov 1, 2018	Active LearningQ-Learning	CodeCode Available	0	5
DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services	Dec 6, 2024	Deep Reinforcement LearningQ-Learning	CodeCode Available	0	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	0	5
Distributionally Robust Deep Q-Learning	May 25, 2025	Q-Learning	CodeCode Available	0	5
Agent Performing Autonomous Stock Trading under Good and Bad Situations	Jun 6, 2023	Decision MakingDeep Reinforcement Learning	CodeCode Available	0	5
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces	Oct 17, 2019	Q-Learningreinforcement-learning	CodeCode Available	0	5
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction	Jun 3, 2019	continuous-controlContinuous Control	CodeCode Available	0	5
Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer	Feb 4, 2025	Q-LearningSMAC	CodeCode Available	0	5
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility	Nov 24, 2022	Adversarial AttackDeep Reinforcement Learning	CodeCode Available	0	5
AFU: Actor-Free critic Updates in off-policy RL for continuous control	Apr 24, 2024	continuous-controlContinuous Control	CodeCode Available	0	5
Diagnosing Bottlenecks in Deep Q-learning Algorithms	Feb 26, 2019	continuous-controlContinuous Control	CodeCode Available	0	5

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