https://github.com/animesh-chourey/frozen-lake

Various reinforcement learning algorithms implemented on the frozen lake grid world.
https://github.com/animesh-chourey/frozen-lake

frozen-lake model-based-reinforcement-learning policy-evaluation policy-improvement policy-iteration q-learning reinforcement-learning sarsa value-iteration

Last synced: 3 months ago
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Various reinforcement learning algorithms implemented on the frozen lake grid world.

• Host: GitHub
• URL: https://github.com/animesh-chourey/frozen-lake
• Owner: Animesh-Chourey
• Created: 2022-08-29T15:21:40.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-08-29T16:17:36.000Z (over 2 years ago)
• Last Synced: 2025-01-11T19:45:27.684Z (4 months ago)
• Topics: frozen-lake, model-based-reinforcement-learning, policy-evaluation, policy-improvement, policy-iteration, q-learning, reinforcement-learning, sarsa, value-iteration
• Language: Python
• Homepage:
• Size: 49.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Various reinforcement learning algorithms are implemented to find policies for the frozen lake environment.

The following reinforcement learning algorithms have been implemented here:

* Tabular model-based reinforcement learning

    * Policy Evaluation

    * Policy Improvement

    * Policy Iteration

    * Value Iteration

* Tabular model-free reinforcement learning

    * Sarsa

    * Q-learning

* Non-tabular model-free reinforcement learning

    * Linear Sarsa

    * Linear Q-learning