Differentiable Evolutionary Reinforcement Learning

By: Sitao Cheng, Tianle Li, Xuhan Huang, Xunjian Yin, Difan Zou

Published: 2025-12-16

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Abstract

Proposes a new approach combining differentiable programming with evolutionary strategies for reinforcement learning, aiming to improve learning efficiency and adaptability in complex environments. This method has potential to significantly advance autonomous systems, robotics, and other domains requiring sophisticated control and decision-making capabilities.

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