Reinforcement Learning with Python/Mathematica - box game (Q Learning) -- 2

Can be solved with Python 2.7 or Mathematica (10.2 or higher)

In this project you'll have to set up an environment (maze with walls 5x5), a robot and simulator functions. The robot has a fixed starting point and chooses its actions (right, left, up, down with certain probabilities) randomly. In the maze itself, some rewards are placed. In a second part, you'll have to implement a Q-learning algorithm and later experiment with different values of Q, alpha and epsilon.

Please find the whole exercise attached.

We'll need all codes of the solution.

Best regards

Skills: Artificial Intelligence, Machine Learning, Matlab and Mathematica, Python

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( 1 review ) Schlatt, Switzerland

Project ID: #12158710

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