Zobrazeno 1 - 10
of 907
pro vyhledávání: '"Zhang, Jenny"'
Autor:
Zhang, Jenny L.
We present a minimal phase oscillator model for learning quadrupedal locomotion. Each of the four oscillators is coupled only to itself and its corresponding leg through local feedback of the ground reaction force, which we interpret as an observer f
Open-ended and AI-generating algorithms aim to continuously generate and solve increasingly complex tasks indefinitely, offering a promising path toward more general intelligence. To accomplish this grand vision, learning must occur within a vast arr
Externí odkaz:
http://arxiv.org/abs/2405.15568
We present a minimal phase oscillator model for learning quadrupedal locomotion. Each of the four oscillators is coupled only to itself and its corresponding leg through local feedback of the ground reaction force, which can be interpreted as an obse
Externí odkaz:
http://arxiv.org/abs/2402.08662
Autor:
Zhang, Jenny
Crowdsourcing Feedback and Augmenting 3D Visualizations: Online Collaboration Tools for Gamified Participatory Design Workshops is an investigation into how digital tools can be designed to facilitate and enhance the participatory process. The partic
Externí odkaz:
https://hdl.handle.net/1721.1/151370
Autor:
Bradley, Herbie, Dai, Andrew, Teufel, Hannah, Zhang, Jenny, Oostermeijer, Koen, Bellagente, Marco, Clune, Jeff, Stanley, Kenneth, Schott, Grégory, Lehman, Joel
In many text-generation problems, users may prefer not only a single response, but a diverse range of high-quality outputs from which to choose. Quality-diversity (QD) search algorithms aim at such outcomes, by continually improving and diversifying
Externí odkaz:
http://arxiv.org/abs/2310.13032
Reinforcement Learning from Human Feedback (RLHF) has shown potential in qualitative tasks where easily defined performance measures are lacking. However, there are drawbacks when RLHF is commonly used to optimize for average human preferences, espec
Externí odkaz:
http://arxiv.org/abs/2310.12103
Autor:
Baikie, Tomi K., Kosmützky, Darius, Lawrence, Joshua M., Gray, Victor, Schnedermann, Christoph, Horton, Robin, Collins, Joel D., Medipally, Hitesh, Witek, Bartosz, Nowaczyk, Marc M., Zhang, Jenny, Wey, Laura, Howe, Christopher J., Rao, Akshay
Transient absorption (TA) spectroscopy has proved fundamental to our understanding of energy and charge transfer in biological systems, allowing measurements of photoactive proteins on sub-picosecond timescales. Recently, ultrafast TA spectroscopy ha
Externí odkaz:
http://arxiv.org/abs/2307.09448
Open-ended algorithms aim to learn new, interesting behaviors forever. That requires a vast environment search space, but there are thus infinitely many possible tasks. Even after filtering for tasks the current agent can learn (i.e., learning progre
Externí odkaz:
http://arxiv.org/abs/2306.01711