JY Jung, JA Reggia - Proceedings of the 11th Annual conference on …, 2009 - dl.acm.org
In this paper, we investigate the use of nested evolution in which each step of one evolutionary process involves running a second evolutionary process. We apply this …
DF Hougen, SNH Shah - 2019 IEEE Symposium Series on …, 2019 - ieeexplore.ieee.org
In both the natural and artificial realms, evolution and reinforcement learning are parallel adaptive processes that work on different scales but with similar feedback mechanisms. This …
Reinforcement learning (RL) problems come in many flavours, as do algorithms for solving them. It is currently not clear which of the commonly used RL benchmarks best measure an …
Reinforcement Learning (RL) has proven to be highly effective in various real-world applications. However, in certain scenarios, Evolutionary Algorithms (EAs) have been …
C Dong, D Li - Neural Processing Letters, 2024 - Springer
Abstract Evolutionary Reinforcement Learning (ERL) has garnered widespread attention in recent years due to its inherent robustness and parallelism. However, the integration of …
H Yin, Y Li, SJ Pan, C Zhang… - arXiv preprint arXiv …, 2020 - arxiv.org
Solving real-life sequential decision making problems under partial observability involves an exploration-exploitation problem. To be successful, an agent needs to efficiently gather …
Evolutionary Reinforcement Learning (ERL), which integrates Evolutionary Algorithms (EAs) and Reinforcement Learning (RL) for optimization, has demonstrated remarkable …
ML Clei, P Bellec - Proceedings of the Genetic and Evolutionary …, 2022 - dl.acm.org
Modern artificial intelligence works typically train the parameters of fixed-sized deep neural networks using gradient-based optimization techniques. Simple evolutionary algorithms …
S Khadka, S Majumdar, T Nassar… - International …, 2019 - proceedings.mlr.press
Deep reinforcement learning algorithms have been successfully applied to a range of challenging control tasks. However, these methods typically struggle with achieving effective …