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antonio-f / Dynamic-Programming

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Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.

reinforcement-learning openai-gym gym dynamic-programming policy-evaluation policy-iteration value-iteration bellman-equation frozenlake policy-improvement state-value-function action-value-function
  • Updated Apr 3, 2019
  • Jupyter Notebook

tashi-2004 / Deep-Learning-Grid-World-Q-Learning

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Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

python training machine-learning reinforcement-learning deep-learning numpy machine-learning-algorithms q-learning artificial-intelligence exploration reinforcement-learning-algorithms agent-based-modeling exploitation deep-q-learning matplotlib-pyplot state-value-function q-learning-algorithm
  • Updated Sep 3, 2024
  • Python

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