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EVO-RL: Evolutionary-Driven Reinforcement Learning
[article]
2020
arXiv
pre-print
In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL), embeds the reinforcement learning algorithm in an evolutionary cycle, where we distinctly differentiate between purely evolvable (instinctive) behaviour versus purely learnable behaviour. Furthermore, we propose that this distinction is decided by the evolutionary process, thus allowing evo-RL to be adaptive to
arXiv:2007.04725v2
fatcat:yhxpzgo74bfa3m2h6t5jubm6xi