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

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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

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

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