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of 102
pro vyhledávání: '"Cheney, Nick"'
Elementary cellular automata deterministically map a binary sequence to another using simple local rules. Visualizing the structure of this mapping is difficult because the number of nodes (i.e. possible binary sequences) grows exponentially. If peri
Externí odkaz:
http://arxiv.org/abs/2409.04780
Autor:
Mertan, Alican, Cheney, Nick
It is prevalent in contemporary AI and robotics to separately postulate a brain modeled by neural networks and employ it to learn intelligent and adaptive behavior. While this method has worked very well for many types of tasks, it isn't the only typ
Externí odkaz:
http://arxiv.org/abs/2407.16613
Autor:
Mitchell, Kevin J., Cheney, Nick
How does the genome encode the form of the organism? What is the nature of this genomic code? Common metaphors, such as a blueprint or program, fail to capture the complex, indirect, and evolutionarily dynamic relationship between the genome and orga
Externí odkaz:
http://arxiv.org/abs/2407.15908
Autor:
Mertan, Alican, Cheney, Nick
Finding controllers that perform well across multiple morphologies is an important milestone for large-scale robotics, in line with recent advances via foundation models in other areas of machine learning. However, the challenges of learning a single
Externí odkaz:
http://arxiv.org/abs/2404.14625
Autor:
Mertan, Alican, Cheney, Nick
Evolving virtual creatures is a field with a rich history and recently it has been getting more attention, especially in the soft robotics domain. The compliance of soft materials endows soft robots with complex behavior, but it also makes their desi
Externí odkaz:
http://arxiv.org/abs/2402.09231
This work identifies a simple pre-training mechanism that leads to representations exhibiting better continual and transfer learning. This mechanism -- the repeated resetting of weights in the last layer, which we nickname "zapping" -- was originally
Externí odkaz:
http://arxiv.org/abs/2310.07996
Autor:
Dean, Jackson, Cheney, Nick
Real-world problems are often comprised of many objectives and require solutions that carefully trade-off between them. Current approaches to many-objective optimization often require challenging assumptions, like knowledge of the importance/difficul
Externí odkaz:
http://arxiv.org/abs/2307.02661
In environments that vary frequently and unpredictably, bet-hedgers can overtake the population. Diversifying bet-hedgers have a diverse set of offspring so that, no matter the conditions they find themselves in, at least some offspring will have hig
Externí odkaz:
http://arxiv.org/abs/2307.01602
Autor:
Mertan, Alican, Cheney, Nick
Soft robotics is a rapidly growing area of robotics research that would benefit greatly from design automation, given the challenges of manually engineering complex, compliant, and generally non-intuitive robot body plans and behaviors. It has been s
Externí odkaz:
http://arxiv.org/abs/2306.09358
Existing machines are functionally specific tools that were made for easy prediction and control. Tomorrow's machines may be closer to biological systems in their mutability, resilience, and autonomy. But first they must be capable of learning and re
Externí odkaz:
http://arxiv.org/abs/2108.12056