Zobrazeno 1 - 10
of 2 436
pro vyhledávání: '"Rhinehart, A."'
How can a robot safely navigate around people exhibiting complex motion patterns? Reinforcement Learning (RL) or Deep RL (DRL) in simulation holds some promise, although much prior work relies on simulators that fail to precisely capture the nuances
Externí odkaz:
http://arxiv.org/abs/2410.10646
Autor:
Yang, Jiezhi, Desai, Khushi, Packer, Charles, Bhatia, Harshil, Rhinehart, Nicholas, McAllister, Rowan, Gonzalez, Joseph
We propose CARFF, a method for predicting future 3D scenes given past observations. Our method maps 2D ego-centric images to a distribution over plausible 3D latent scene configurations and predicts the evolution of hypothesized scenes through time.
Externí odkaz:
http://arxiv.org/abs/2401.18075
Autor:
Dena P. Rhinehart, Jiaying Lai, David E. Sanin, Varsha Vakkala, Adrianna Mendes, Christopher Bailey, Emmanuel S. Antonarakis, Channing J. Paller, Xiaojun Wu, Tamara L. Lotan, Rachel Karchin, Laura A. Sena
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-5 (2024)
Abstract Metastatic prostate cancer (PCa) is not curable due to its ability to acquire therapy resistance. Theoretically, acquired therapy resistance can be driven by changes to previously sensitive cancer cells or their environment and/or by outgrow
Externí odkaz:
https://doaj.org/article/cfa69be4bab4442d968155aec14047a4
Autor:
Montali, Nico, Lambert, John, Mougin, Paul, Kuefler, Alex, Rhinehart, Nick, Li, Michelle, Gulino, Cole, Emrich, Tristan, Yang, Zoey, Whiteson, Shimon, White, Brandyn, Anguelov, Dragomir
Simulation with realistic, interactive agents represents a key task for autonomous vehicle software development. In this work, we introduce the Waymo Open Sim Agents Challenge (WOSAC). WOSAC is the first public challenge to tackle this task and propo
Externí odkaz:
http://arxiv.org/abs/2305.12032
Autor:
Matthew A. Young, Timothy B. Spahr, Kenneth McEnaney, Tessa Rhinehart, Stefan Kahl, Nicholas M. Anich, Ryan Brady, David Yeany, Ryan Mandelbaum
Publikováno v:
Frontiers in Bird Science, Vol 3 (2024)
Red crossbills (Loxia curvirostra) are the archetypal example of a taxon with high infraspecific diversity in traits including bill size and especially vocal characteristics. Currently, at least 11 different call types in North America have been reco
Externí odkaz:
https://doaj.org/article/71b2fdf5148c40788bd1701aaf185b7f
Reinforcement learning can enable robots to navigate to distant goals while optimizing user-specified reward functions, including preferences for following lanes, staying on paved paths, or avoiding freshly mowed grass. However, online learning from
Externí odkaz:
http://arxiv.org/abs/2212.08244
Autor:
Knight, Elly, Rhinehart, Tessa, de Zwaan, Devin R., Weldy, Matthew J., Cartwright, Mark, Hawley, Scott H., Larkin, Jeffery L., Lesmeister, Damon, Bayne, Erin, Kitzes, Justin
Publikováno v:
In Trends in Ecology & Evolution October 2024 39(10):947-960
Publikováno v:
In American Journal of Emergency Medicine January 2025 87:65-69
Autor:
Rhinehart, Nicholas, Wang, Jenny, Berseth, Glen, Co-Reyes, John D., Hafner, Danijar, Finn, Chelsea, Levine, Sergey
Humans and animals explore their environment and acquire useful skills even in the absence of clear goals, exhibiting intrinsic motivation. The study of intrinsic motivation in artificial agents is concerned with the following question: what is a goo
Externí odkaz:
http://arxiv.org/abs/2112.03899
Autor:
Dashora, Nitish, Shin, Daniel, Shah, Dhruv, Leopold, Henry, Fan, David, Agha-Mohammadi, Ali, Rhinehart, Nicholas, Levine, Sergey
Geometric methods for solving open-world off-road navigation tasks, by learning occupancy and metric maps, provide good generalization but can be brittle in outdoor environments that violate their assumptions (e.g., tall grass). Learning-based method
Externí odkaz:
http://arxiv.org/abs/2111.10948