Genetic optimization algorithms applied toward mission computability models

2020-05-27 · Mee Seong Im, Venkat R. Dasari

Genetic algorithms are modeled after the biological evolutionary processes that use natural selection to select the best species to survive. They are heuristics based and low cost to compute. Genetic algorithms use selection, crossover, and mutation to obtain a feasible solution to computational problems. In this paper, we describe our genetic optimization algorithms to a mission-critical and constraints-aware computation problem.

📄 PDF Abstract BibTeX arXiv:2005.13105

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reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Genetic-Gated Networks for Deep Reinforcement Learning

2018-12-01 · NeurIPS 2018 12 · Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak

Deep Reinforcement Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)