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 351–375 of 1918 papers

Title	Date	Tasks	Status	Score
A Deep Learning Approach to Grasping the Invisible	Sep 11, 2019	Deep LearningQ-Learning	CodeCode Available	5
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning	Feb 6, 2025	ImputationOutlier Detection	CodeCode Available	5
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks	Sep 7, 2019	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity	May 22, 2024	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
Collaborative Multi-BS Power Management for Dense Radio Access Network using Deep Reinforcement Learning	Apr 17, 2023	Deep Reinforcement LearningManagement	CodeCode Available	5
An intelligent financial portfolio trading strategy using deep Q-learning	Jul 8, 2019	Q-Learning	CodeCode Available	5
Combinational Q-Learning for Dou Di Zhu	Jan 24, 2019	Atari GamesCard Games	CodeCode Available	5
Combining No-regret and Q-learning	Oct 7, 2019	counterfactualQ-Learning	CodeCode Available	5
Deep reinforcement learning for time series: playing idealized trading games	Mar 11, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments	Feb 24, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Deep Reinforcement Learning Algorithms for Option Hedging	Apr 7, 2025	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Introspective Experience Replay: Look Back When Surprised	Jun 7, 2022	Q-Learningreinforcement-learning	CodeCode Available	5
Deep Quality-Value (DQV) Learning	Sep 30, 2018	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft	Mar 11, 2019	MinecraftQ-Learning	CodeCode Available	5
Deep Reinforcement Learning Based Parameter Control in Differential Evolution	May 20, 2019	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Composable Deep Reinforcement Learning for Robotic Manipulation	Mar 19, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks	Mar 29, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	5
Compressed Federated Reinforcement Learning with a Generative Model	Mar 26, 2024	modelQ-Learning	CodeCode Available	5
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning	Oct 27, 2019	Deep Reinforcement LearningImitation Learning	CodeCode Available	5
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization	May 28, 2024	D4RLOffline RL	CodeCode Available	5
A DQN-based Approach to Finding Precise Evidences for Fact Verification	Aug 1, 2021	Claim VerificationFact Verification	CodeCode Available	5
Meta-Q-Learning	Sep 30, 2019	continuous-controlContinuous Control	CodeCode Available	5
Deep Q learning for fooling neural networks	Nov 13, 2018	Q-LearningReinforcement Learning	CodeCode Available	5
Deep Q-Learning for Nash Equilibria: Nash-DQN	Apr 23, 2019	Q-LearningReinforcement Learning	CodeCode Available	5
Deep Q-learning from Demonstrations	Apr 12, 2017	Decision MakingDeep Reinforcement Learning	CodeCode Available	5

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