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

Навички: Штучний інтелект, Машинне навчання, Matlab and Mathematica, Python

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Про роботодавця:
( 1 відгук ) Schlatt, Switzerland

ID проекту: #12158710



Hi, I have recently built a very similar project, of a car that needs to decide, based on q-learning, what action to take. I can assure you that I can deliver this project quickly and smoothly. I would prefer to u Більше

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Hello, I'd be glad to implement the MDP problem for you. I suggest implementing it in Matlab. Looking forward to chat with you soon for more details. Also i have some Python script related to Markov decision proces Більше

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Hello! My name is Mehnaz Bashir. I am writing in response to your Project. After carefully reviewing the experience requirements and skills required for the job, I feel that I am a suitable match for the job. I have Більше

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Hi, My last project here is very related to this one. Basically I'm an electronics engineer. I did the same thing with python. Come to chat for more discussion. Thank you

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I have high proficiency in Matlab including SPSS Statistics, Mathematics, and Statistics analysis. Once you share the project, I will have a look & confirm if I can do it. I’m honest, creative and a unique person to Більше

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1. Studied Machine Learning, Neural Networks etc., 2. Sudied Markov decision process 3. Implemented Q-Learning before 4. Good at python, matlab

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