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Found 3 papers, 1 papers with code
Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration
This paper focuses on the critical load restoration problem in distribution systems following major outages.
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
We demonstrate that optimal control for this problem is challenging, requiring more than 8-hour lookahead for MPC with perfect forecasting to attain the minimum cost.
K-spin Hamiltonian for quantum-resolvable Markov decision processes
The Markov decision process is the mathematical formalization underlying the modern field of reinforcement learning when transition and reward functions are unknown.
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