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 226–250 of 1918 papers

Title	Date	Tasks	Status	Score
Implications of Decentralized Q-learning Resource Allocation in Wireless Networks	May 30, 2017	Q-LearningReinforcement Learning	CodeCode Available	5
A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning	Jun 22, 2017	Action DetectionPosition	CodeCode Available	5
A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications	Jan 12, 2024	Decision MakingDeep Reinforcement Learning	CodeCode Available	5
Agent Performing Autonomous Stock Trading under Good and Bad Situations	Jun 6, 2023	Decision MakingDeep Reinforcement Learning	CodeCode Available	5
Information-Theoretic State Variable Selection for Reinforcement Learning	Jan 21, 2024	Decision Makingfeature selection	CodeCode Available	5
Inverse Q-Learning Done Right: Offline Imitation Learning in Q^π-Realizable MDPs	May 26, 2025	Imitation LearningQ-Learning	CodeCode Available	5
Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown Environments	Dec 19, 2023	OpenAI GymPathfinder	CodeCode Available	5
Mastering Percolation-like Games with Deep Learning	May 12, 2023	Deep LearningQ-Learning	CodeCode Available	5
Assessing the Potential of Classical Q-learning in General Game Playing	Oct 14, 2018	Board GamesDeep Reinforcement Learning	CodeCode Available	5
Assumed Density Filtering Q-learning	Dec 9, 2017	Atari GamesBayesian Inference	CodeCode Available	5
Diagnosing Bottlenecks in Deep Q-learning Algorithms	Feb 26, 2019	continuous-controlContinuous Control	CodeCode Available	5
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines	Jun 4, 2020	Q-Learningreinforcement-learning	CodeCode Available	5
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning	Sep 15, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression	May 28, 2024	Imitation LearningMuJoCo	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
Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach	Oct 12, 2023	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Learning Simple Algorithms from Examples	Nov 23, 2015	Q-Learning	CodeCode Available	5
A DQN-based Approach to Finding Precise Evidences for Fact Verification	Aug 1, 2021	Claim VerificationFact Verification	CodeCode Available	5
Learning to Communicate with Deep Multi-Agent Reinforcement Learning	May 21, 2016	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening	Nov 5, 2016	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm	Aug 28, 2023	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Active inference: demystified and compared	Sep 24, 2019	Atari GamesOpenAI Gym	CodeCode Available	5
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents	Feb 6, 2024	continuous-controlContinuous Control	CodeCode Available	5
Introspective Experience Replay: Look Back When Surprised	Jun 7, 2022	Q-Learningreinforcement-learning	CodeCode Available	5
Active Collection of Well-Being and Health Data in Mobile Devices	Jul 7, 2023	Q-LearningReinforcement Learning (RL)	CodeCode Available	5

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