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This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.

License: MIT License

Python 100.00%
artificial-intelligence artificial-neural-networks autonomous-soaring autonomous-vehicles decision-making flight-control long-short-term-memory machine-learning proximal-policy-optimization reinforcement-learning

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rl_integrated-updraft-exploitation's Issues

Unable to run policy demonstration

Problem Description
Thanks for the great work and sharing the implementation.

I wanted to reproduce the results in the paper, and was trying to run the code, but had the following error.

$ python3 policy_demonstration/sample_updraft_finder.py 
Traceback (most recent call last):
  File "policy_demonstration/sample_updraft_finder.py", line 14, in <module>
    from parameters import params_updraft_finder, params_triangle_soaring, params_environment
ModuleNotFoundError: No module named 'parameters'

Before trying to debug the problem myself, I wanted to ask whether I am missing some context on how the repository should be used, as the repository is missing instructions on how to run the code.

Would it be possible to know what I am missing to run the example?

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