Evolutionary reinforcement learning for sparse rewards

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Evolutionary reinforcement learning: A survey‏

H Bai, R Cheng, Y ** - Intelligent Computing, 2023‏ - spj.science.org‏
Reinforcement learning (RL) is a machine learning approach that trains agents to maximize
cumulative rewards through interactions with environments. The integration of RL with deep …‏
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Bridging evolutionary algorithms and reinforcement learning: A comprehensive survey on hybrid algorithms‏

P Li, J Hao, H Tang, X Fu, Y Zhen… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org‏
Evolutionary Reinforcement Learning (ERL), which integrates Evolutionary Algorithms (EAs)
and Reinforcement Learning (RL) for optimization, has demonstrated remarkable …‏
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Evolutionary reinforcement learning: a systematic review and future directions‏

Y Lin, F Lin, G Cai, H Chen, L Zou, P Wu - ar** the flocking behavior is still challenging for a swarm of autonomous agents.
Traditional Evolutionary Reinforcement Learning (ERL) methods suffer the problem of local …‏
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