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 231–240 of 1918 papers

Title	Date	Tasks	Status	Hype	Score
Inverse Q-Learning Done Right: Offline Imitation Learning in Q^π-Realizable MDPs	May 26, 2025	Imitation LearningQ-Learning	CodeCode Available	0	5
Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown Environments	Dec 19, 2023	OpenAI GymPathfinder	CodeCode Available	0	5
Implications of Decentralized Q-learning Resource Allocation in Wireless Networks	May 30, 2017	Q-LearningReinforcement Learning	CodeCode Available	0	5
Assessing the Potential of Classical Q-learning in General Game Playing	Oct 14, 2018	Board GamesDeep Reinforcement Learning	CodeCode Available	0	5
Assumed Density Filtering Q-learning	Dec 9, 2017	Atari GamesBayesian Inference	CodeCode Available	0	5
Lookahead-Bounded Q-Learning	Jun 28, 2020	Q-Learning	CodeCode Available	0	5
Diagnosing Bottlenecks in Deep Q-learning Algorithms	Feb 26, 2019	continuous-controlContinuous Control	CodeCode Available	0	5
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines	Jun 4, 2020	Q-Learningreinforcement-learning	CodeCode Available	0	5
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning	Sep 15, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	0	5
Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression	May 28, 2024	Imitation LearningMuJoCo	CodeCode Available	0	5

Show:10 25 50

← PrevPage 24 of 192Next →

No leaderboard results yet.