Implement a reinforcement learning algorithm in Python with an agent and environment to work with the attached CSV file.
The system shall:
1) Load in the input file
2) Attempt to maximize the average reward obtained across N configurable features (in this case examining columns 5-14, and beginning with N=4)
3) Output the step take at each epoch along with the corresponding reward obtained
4) Loop until the algorithm has converged for X epochs (where X is configurable but is initialized to 12)
The system shall utilize numPy. The system may also utilize sciPy, Tensorflow or Keras. Other libraries or frameworks may be fine but should be discussed first
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I hope to see you in chat. Though I am new to freelancer.com I am an experienced python machine learning developer with full-stack knowledge and career. I'm sure I can do this perfectly. Thanks for your kind attenti Daha Fazla
Hi, I am interested in your project. I am Python and Machine Learning specialist, certified by Freelancer. I fully understand your requirements and I am sure I can help you. Let's discuss details by chat.
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
Hi, I am expert in Python and Machine learning. I Implemented a reinforcement learning algorithms in Python. I can do your project perfectly. Thanks.
I am [login to view URL] from IIT Delhi. I have worked on Predictive Analytics,data mining, Object Detection and Object Recognition problems like counting the different number of vehicle type like cars , scooters, buses etc. I a Daha Fazla
Working in machine learning field since 2+ year. And I have worked on 1-2 data science project related to RL Would love to take up this project.
I have good experience with numPy and sciPy, and also have done work in tensorflow. I should be able to help in this project. Please ping me so that we can discuss on chat.