Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents

17 March 2019

Papers citing "Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents"

7 / 7 papers shown

Title
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 32 70 0 23 Aug 2022
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System C. Zeng Grant R. Hecht Prajit KrisshnaKumar Raj K. Shah Souma Chowdhury E. M. Botta 12 8 0 11 Jan 2022
Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends Zhiqing Wei Zeyang Meng Meichen Lai Huici Wu Jiarong Han Z. Feng 29 35 0 27 Sep 2021
Learning Robot Swarm Tactics over Complex Adversarial Environments A. Behjat Hemanth Manjunatha Prajit KrisshnaKumar Apurv Jani Leighton Collins ... Joseph P. Distefano David Doermann Karthik Dantu Ehsan Esfahani Souma Chowdhury 8 11 0 13 Sep 2021
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 35 26 0 09 Aug 2020
ModuleNet: Knowledge-inherited Neural Architecture Search Yaran Chen Ruiyuan Gao Fenggang Liu Dongbin Zhao KELM 24 28 0 10 Apr 2020
Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution A. Behjat Krushang Gabani Souma Chowdhury 6 4 0 31 May 2019