SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 1918 papers

Title	Date	Tasks	Status	Hype
Robust Q-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty	Sep 30, 2022	Q-Learning	CodeCode Available	1
Revisiting Discrete Soft Actor-Critic	Sep 21, 2022	Atari GamesQ-Learning	CodeCode Available	1
MAN: Multi-Action Networks Learning	Sep 19, 2022	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games	Jul 18, 2022	Atari GamesDeep Reinforcement 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
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems	Jul 8, 2022	Combinatorial OptimizationQ-Learning	CodeCode Available	1
On the Learning and Learnability of Quasimetrics	Jun 30, 2022	Q-LearningReinforcement Learning (RL)	CodeCode Available	1
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer	Jun 20, 2022	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration	Jun 20, 2022	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
A Search-Based Testing Approach for Deep Reinforcement Learning Agents	Jun 15, 2022	Autonomous DrivingDecision Making	CodeCode Available	1
Mildly Conservative Q-Learning for Offline Reinforcement Learning	Jun 9, 2022	D4RLQ-Learning	CodeCode Available	1
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning	May 2, 2022	Data AugmentationQ-Learning	CodeCode Available	1
GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning	Apr 5, 2022	Imitation LearningQ-Learning	CodeCode Available	1
Microservice Deployment in Edge Computing Based on Deep Q Learning	Feb 11, 2022	Edge-computingQ-Learning	CodeCode Available	1
Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing	Jan 20, 2022	Q-Learningreinforcement-learning	CodeCode Available	1
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning	Dec 23, 2021	Deep Reinforcement LearningQ-Learning	CodeCode Available	1
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives	Dec 8, 2021	Q-LearningReinforcement Learning (RL)	CodeCode Available	1
Regularized Softmax Deep Multi-Agent Q-Learning	Dec 1, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Offline Reinforcement Learning with Implicit Q-Learning	Oct 12, 2021	D4RLOffline RL	CodeCode Available	1
Dropout Q-Functions for Doubly Efficient Reinforcement Learning	Oct 5, 2021	Computational EfficiencyQ-Learning	CodeCode Available	1
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble	Oct 4, 2021	Adroid door-clonedAdroid door-human	CodeCode Available	1
Learning the Markov Decision Process in the Sparse Gaussian Elimination	Sep 30, 2021	Combinatorial OptimizationQ-Learning	CodeCode Available	1
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection	Sep 29, 2021	Q-LearningTraffic Signal Control	CodeCode Available	1
Offline Reinforcement Learning with In-sample Q-Learning	Sep 29, 2021	D4RLOffline RL	CodeCode Available	1
Backprop-Free Reinforcement Learning with Active Neural Generative Coding	Jul 10, 2021	Q-Learningreinforcement-learning	CodeCode Available	1

Show:10 25 50

← PrevPage 3 of 77Next →

No leaderboard results yet.