A multi-agent reinforcement learning framework for lithium-ion battery scheduling problems
Y Sui, S Song - Energies, 2020 - mdpi.com
This paper presents a reinforcement learning framework for solving battery scheduling
problems in order to extend the lifetime of batteries used in electrical vehicles (EVs), cellular …
problems in order to extend the lifetime of batteries used in electrical vehicles (EVs), cellular …
Time efficient segmented technique for dynamic programming based algorithms with FPGA implementation
T Bonny, RA Debsi, MB Almourad - Journal of Circuits, Systems and …, 2019 - World Scientific
Although dynamic programming (DP) is an optimization approach used to solve a complex
problem fast, the time required to solve it is still not efficient and grows polynomially with the …
problem fast, the time required to solve it is still not efficient and grows polynomially with the …