GitHub - lukinoe/RL-Power-Distribution-for-power2heat: PyTorch implementation of a Monte Carlo Policy Gradient approach to learn an optimal policy for a power-to-heat device to distribute excess power in a dynamic environment.

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PyTorch implementation of a Monte Carlo Policy Gradient approach to learn an optimal policy for a power-to-heat device to distribute excess power in a dynamic environment.

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Name		Name	Last commit message	Last commit date
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RL_policy		RL_policy
__pycache__		__pycache__
archive		archive
data		data
prediction_models		prediction_models
.gitignore		.gitignore
Dockerfile		Dockerfile
requirements.txt		requirements.txt

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PyTorch implementation of a Monte Carlo Policy Gradient approach to learn an optimal policy for a power-to-heat device to distribute excess power in a dynamic environment.

reinforcement-learning ai monte-carlo ml actor-critic

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