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solar_panels_rl

Code associated with our paper:

"Bandit-Based Solar Panel Control" presented at IAAI 2018, with earlier versions of the paper appearing at RLDM 2017 and EnviroInfo 2017.

This work focuses on applying reinforcement learning techniques to improve Solar Tracking.

Experiments require pysolar version 0.6, and simple_rl, which can be installed with the usual:

pip install simple_rl

Example

To reproduce plots from the IAAI paper, simply run the run_all_experiments.py in experiments.

Contact david_abel@brown.edu with any questions.

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Repository for code experimenting with RL and Solar Tracking

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