Amanote Research

Amanote Research

    RegisterSign In

Multi-Agent Reinforcement Learning in Games

doi 10.22215/etd/2012-09679
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
Xiaosong Lu
Publisher

Carleton University


Related search

Multi-Agent Inverse Reinforcement Learning for Certain General-Sum Stochastic Games

Journal of Artificial Intelligence Research
Artificial Intelligence
2019English

Multi-Agent Cooperation Models by Reinforcement Learning (MCMRL)

International Journal of Computer Applications
2017English

A Reinforcement Learning Approach Using Reliability for Multi-Agent Systems

Transactions of the Society of Instrument and Control Engineers
2013English

Dialogue Games in Multi-Agent Systems

Informal Logic
Philosophy
2001English

Hysteretic Q-Learning :An Algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams

2007English

Multi-Agent Cooperation Based on Reinforcement Learning With Internal Reward in Maze Problem

SICE Journal of Control, Measurement, and System Integration
2018English

Distributed Learning in Large-Scale Multi-Agent Games: A Modified Fictitious Play Approach

2012English

Learning in Pursuit-Evasion Differential Games Using Reinforcement Fuzzy Learning

English

Priority-Based Reserved Spectrum Allocation by Multi-Agent Through Reinforcement Learning in Cognitive Radio Network

Automatika
ControlSystems EngineeringComputer Science
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy