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 1901–1918 of 1918 papers

Title	Date	Tasks	Status	Hype
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks	Sep 7, 2019	Deep Reinforcement LearningQ-Learning	CodeCode Available	0
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model	Oct 27, 2024	D4RLQ-Learning	CodeCode Available	0
Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn Families of Text-Based Adventure Games	Aug 13, 2019	Common Sense ReasoningQ-Learning	CodeCode Available	0
The Impact of Data Distribution on Q-learning with Function Approximation	Nov 23, 2021	DiversityQ-Learning	CodeCode Available	0
Sampled Policy Gradient for Learning to Play the Game Agar.io	Sep 15, 2018	Game DesignQ-Learning	CodeCode Available	0
Learning an Interpretable Traffic Signal Control Policy	Dec 23, 2019	Q-LearningReinforcement Learning	CodeCode Available	0
Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning	Jul 30, 2019	Q-Learningreinforcement-learning	CodeCode Available	0
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning	Dec 21, 2022	Deep Reinforcement LearningQ-Learning	CodeCode Available	0
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems	Jan 13, 2021	Q-LearningReinforcement Learning (RL)	CodeCode Available	0
Continuous Control With Ensemble Deep Deterministic Policy Gradients	Nov 30, 2021	continuous-controlContinuous Control	CodeCode Available	0
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning	Jan 6, 2024	Deep Reinforcement LearningDiversity	CodeCode Available	0
Agent Performing Autonomous Stock Trading under Good and Bad Situations	Jun 6, 2023	Decision MakingDeep Reinforcement Learning	CodeCode Available	0
Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach	Aug 1, 2022	continuous-controlContinuous Control	CodeCode Available	0
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation	May 31, 2024	Q-Learning	CodeCode Available	0
QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds	Dec 13, 2017	BenchmarkingModel-based Reinforcement Learning	CodeCode Available	0
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse	May 29, 2023	continuous-controlContinuous Control	CodeCode Available	0
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning	Jan 26, 2023	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	0
OmniEcon Nexus: Global Microeconomic Simulation Engine	Apr 7, 2025	Data IntegrationPortfolio Optimization	CodeCode Available	0

Show:10 25 50

← PrevPage 39 of 39Next →

No leaderboard results yet.