no code implementations • 22 Jun 2020 • Christopher W. F. Parsonson, Zacharaya Shabka, W. Konrad Chlupka, Bawang Goh, Georgios Zervas
Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a genetic algorithm) are developed and applied both in simulation and experiment.
1 code implementation • 27 May 2022 • Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre
Compared to the nearest competitor, ECORD reduces the optimality gap by up to 73% on 500 vertex graphs with a decreased wall-clock time.
1 code implementation • 28 May 2022 • Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett
By retrospectively deconstructing the search tree into multiple paths each contained within a sub-tree, we enable the agent to learn from shorter trajectories with more predictable next states.
no code implementations • 31 Jan 2023 • Christopher W. F. Parsonson, Zacharaya Shabka, Alessandro Ottino, Georgios Zervas
Many of these models are too large to be trained on a single machine, and instead must be distributed across multiple devices.