SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 776–800 of 1918 papers

TitleStatusHype
Fitted Q-Learning for Relational Domains—0
Learning in Discounted-cost and Average-cost Mean-field Games—0
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning—0
Balancing a CartPole System with Reinforcement Learning -- A Tutorial—0
ShiQ: Bringing back Bellman to LLMs—0
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals—0
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game—0
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets—0
Deep Surrogate Q-Learning for Autonomous Driving—0
FRAC-Q-Learning: A Reinforcement Learning with Boredom Avoidance Processes for Social Robots—0
Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise—0
From r to Q^*: Your Language Model is Secretly a Q-Function—0
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis—0
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration—0
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion—0
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory—0
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search—0
Continuous-time q-Learning for Jump-Diffusion Models under Tsallis Entropy—0
Gap-Dependent Bounds for Federated Q-learning—0
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition—0
Gap-Dependent Bounds for Two-Player Markov Games—0
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy—0
Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penalty—0
Hidden Incentives for Auto-Induced Distributional Shift—0
Deep Spectral Q-learning with Application to Mobile Health—0
Show:102550
← PrevPage 32 of 77Next →

No leaderboard results yet.