This paper presents an NCS-friendly Cooperative Coevolution (CC) framework to scale-up NCS while largely preserving its parallel exploration search behavior.
Sep 8, 2020 · This paper presents an NCS-friendly Cooperative Coevolution (CC) framework to scale-up NCS while largely preserving its parallel exploration search behavior.
The recently proposed. Negatively Correlated Search (NCS) provides a distinct parallel exploration search behavior and is expected to facilitate RL more ...
Sep 8, 2020 · This article presents a comprehensive survey of state-of-the-art methods for integrating EC into RL, referred to as evolutionary ...
Dec 31, 2023 · This paper proposes a novel cooperative coevolutionary reinforcement learning (CoERL) algorithm. Inspired by cooperative coevolution, CoERL periodically and ...
Missing: Negatively Correlated
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This article presents a comprehensive survey of state-of-the-art methods for integrating EC into RL, referred to as evolutionary reinforcement learning (EvoRL).
Evolutionary algorithms (EAs) have been successfully applied to optimize the policies for Reinforcement Learning (RL) tasks due to their exploration ability.
Negatively correlated search (NCS) [1] is a recently proposed evolutionary algorithm (EA) [2] of iteratively searching for optimal solutions. Driven by that a ...
共著者 ; Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. P Yang, H Zhang, Y Yu, M Li, K Tang. swarm and ...
Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search · hmtl icon · Published: 31 Dec 2021, Last Modified: 06 May 2023 ...