Demon in the machine: learning to extract work and absorb entropy from fluctuating nanosystems

20 November 2022

Papers citing "Demon in the machine: learning to extract work and absorb entropy from fluctuating nanosystems"

2 / 2 papers shown

Title
Training neural networks using Metropolis Monte Carlo and an adaptive variant S. Whitelam V. Selin Ian Benlolo Corneel Casert Isaac Tamblyn BDL 31 8 0 16 May 2022
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 93 692 0 18 Dec 2017