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GitHub / MohammadAsadolahi / Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-policy-iteration-in-python

solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using value iteration method Reinforcement Learning

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MohammadAsadolahi%2FReinforcement-Learning-solving-a-simple-4by4-Gridworld-using-policy-iteration-in-python

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 47.9 KB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: almost 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: dynamic-programming, policy-iteration, reinforcement-learning, reinforcement-learning-algorithms, rl, value-iteration

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