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axel-fehr / minimizing-electricity-cost-with-model-based-deep-RL

This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity cost for electricity consumers who have their own photovoltaic system and a battery. The method used here is designed for environments with dynamic electricity prices.
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What is the article corresponding to the code? #1

Closed tianlexm closed 1 year ago

tianlexm commented 1 year ago

What is the article corresponding to the code?

axel-fehr commented 1 year ago

I wrote a thesis on this topic but it is unfortunately not publicly available. However, the implemented method is based on model-based reinforcement learning with Bayesian neural networks as introduced by Depeweg et al. in the paper "Learning and policy search in stochastic dynamical systems with Bayesian neural networks" . I applied the method described in there to optimize the electricity cost.

Link to the paper: https://arxiv.org/abs/1605.07127

I hope this helps.