Deep Reinforcement Learning for Swarm Navigation Using Different Evolution Strategies
Author:
Affiliation:
1. Department of Computer Science and Artificial Intelligence, University of Alicante, Spain, Spain
Funder
Ministerio de Ciencia, Innovación y Universidades
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3665065.3665068
Reference12 articles.
1. Reinforcement Learning for Collaborative Search and Rescue Using Unmanned Aircraft System Swarms
2. Dor Bank Noam Koenigstein and Raja Giryes. 2021. Autoencoders. arXiv:2003.05991 [cs stat].
3. Joshua Bloom Apratim Mukherjee and Carlo Pinciroli. 2022. A study of reinforcement learning algorithms for aggregates of minimalistic robots. arXiv:2203.15129 [cs].
4. Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms
5. Nikolaus Hansen. 2023. The CMA evolution strategy: A tutorial. arXiv:1604.00772 [cs stat].
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