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 101–125 of 1918 papers

Title	Date	Tasks	Status	Hype
ModelicaGym: Applying Reinforcement Learning to Modelica Models	Sep 18, 2019	Q-Learningreinforcement-learning	CodeCode Available	1
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges: Trade-offs between Model-free Learning and A Priori Knowledge	May 26, 2020	Q-Learningreinforcement-learning	CodeCode Available	1
Multi-Agent Determinantal Q-Learning	Jun 2, 2020	Q-Learning	CodeCode Available	1
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator	Dec 8, 2023	Model Predictive ControlMulti-agent Reinforcement Learning	CodeCode Available	1
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning	Sep 13, 2018	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Neural Interactive Collaborative Filtering	Jul 4, 2020	Collaborative FilteringMeta-Learning	CodeCode Available	1
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning	May 27, 2024	Data AugmentationQ-Learning	CodeCode Available	1
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization	Mar 28, 2023	D4RLOffline RL	CodeCode Available	1
Optimal Market Making by Reinforcement Learning	Apr 8, 2021	Q-Learningreinforcement-learning	CodeCode Available	1
Optimistic Exploration even with a Pessimistic Initialisation	Feb 26, 2020	Efficient ExplorationQ-Learning	CodeCode Available	1
Adaptive Contention Window Design using Deep Q-learning	Nov 18, 2020	Q-LearningReinforcement Learning (RL)	CodeCode Available	1
Playing Atari with Deep Reinforcement Learning	Dec 19, 2013	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
An Optimistic Perspective on Offline Deep Reinforcement Learning	Jan 1, 2020	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials	Oct 11, 2022	Offline RLQ-Learning	CodeCode Available	1
QPLEX: Duplex Dueling Multi-Agent Q-Learning	Aug 3, 2020	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	1
Towards Universal and Black-Box Query-Response Only Attack on LLMs with QROA	Jun 4, 2024	Q-Learning	CodeCode Available	1
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning	Jul 12, 2022	Lifelong learningPolicy Gradient Methods	CodeCode Available	1
Reasoning with Latent Diffusion in Offline Reinforcement Learning	Sep 12, 2023	D4RLOffline RL	CodeCode Available	1
Research on Robot Path Planning Based on Reinforcement Learning	Apr 22, 2024	Q-Learningreinforcement-learning	CodeCode Available	1
A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks	Feb 6, 2020	energy managementenergy trading	CodeCode Available	1
Benchmarking Batch Deep Reinforcement Learning Algorithms	Oct 3, 2019	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Reward Machines for Cooperative Multi-Agent Reinforcement Learning	Jul 3, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation	Jun 23, 2021	Continuous ControlQ-Learning	CodeCode Available	1
Robust Q-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty	Sep 30, 2022	Q-Learning	CodeCode Available	1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	Feb 16, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1

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