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This is my code submission for ME5406 Deep Learning for Robotics Project 1

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hwchua0209/ME5406P1-Frozen-lake-Reinforcement-Learning

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ME5406P1-Frozen-lake-Reinforcement-Learning

This project explore three reinforcement learnings method to solve the 4x4 Frozen Lake problem on OpenAI gym and it's variation with a 10x10 grid.

Three reinforcement learning methods used in this projects are

  • First Visit MonteCarlo Control without Exploring Start
  • SARSA
  • Q-learning

All results of the three methods are displayed with heatmap shown below

4x4 Frozen lake Problem

Total episodes run: 2000

  1. First Visit MonteCarlo Control without Exploring Start

First Visit MonteCarlo Control without Exploring Start

  1. SARSA

SARSA

  1. Q-learning

Q-learning

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This is my code submission for ME5406 Deep Learning for Robotics Project 1

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