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Q-learning and SARSA algorithms from Sutton's Reinforcement Learning book.

License: MIT License

Python 100.00%
sutton-gridworld qlearning sarsa reinforcement-learning sutton-book

cliff-walking-solution's Introduction

Cliff Walking Exercise: Sutton's Reinforcement Learning ๐Ÿค–

My implementation of Q-learning and SARSA algorithms for a simple grid-world environment.

The code involves visualization utility functions for visualizing reward convergence, agent paths for SARSA and Q-learning together with heat maps of the agent's action/value function.

Contents: โญ

  • cliff_walking.py: Q-learning, SARSA, Visualization Functions
  • cliff_walking_report.pdf: Analysis on the Q-learning and SARSA algorithms

References:

cliff-walking-solution's People

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cliff-walking-solution's Issues

Is this Path Possible

Hi

I am seeing paths that seems impossible;
They have a 1 in the Cliff section and a 1 in the Home.
image

Nice program
HS

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