Discovering Adaptable Symbolic Algorithms from Scratch
Stephen Kelly,Daniel S. Park,Xingyou Song,Mitchell McIntire,Pranav Nashikkar,Ritam Guha,Wolfgang Banzhaf,Kalyanmoy Deb,Vishnu Naresh Boddeti,Jie Tan,Esteban Real,Stephen Kelly,Daniel S. Park,Xingyou Song,Mitchell McIntire,Pranav Nashikkar,Ritam Guha,Wolfgang Banzhaf,Kalyanmoy Deb,Vishnu Naresh Boddeti,Jie Tan,Esteban Real
Autonomous robots deployed in the real world will need control policies that rapidly adapt to environmental changes. To this end, we propose AutoRobotics-Zero (ARZ), a method based on AutoML-Zero that discovers zero-shot adaptable policies from scratch. In contrast to neural network adaption policies, where only model parameters are optimized, ARZ can build control algorithms with the full express...
