Skip to content

Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.

Notifications You must be signed in to change notification settings

ZhuLinche/reinforcement-learning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

reinforcement-learning

To finish my thesis, "Methods and implementations for coordinated multi-agent learning", which involves a research on RL from single agent to multi-agent, as well as the state-of-the-art in collaborative and coordinated multi-agent learning algorithms and implementations, the implementations in MATLAB for some RL methods are done. The thesis paper is also uploaded, where contains the references.

Single Agent Reinforcement Learning

  • Dynamic Programming
  • Monte Carlo Methods
  • Temporal-Difference Learning
  • Linear Function Approximation
  • Deep-Q Network
  • Policy Gradient with Linear Function Approximation

Multi-Agent Reinforcement Learning

  • Centralized Q-Learning
  • Hysteretic Q-Learning
  • Multi-Agent Actor-Critic

About

Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • MATLAB 100.0%