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pro vyhledávání: '"Chang, Kimberlee Chestnut"'
Autor:
Chang, Kimberlee Chestnut, Jensen, Reed, Paleja, Rohan, Polk, Sam L., Seater, Rob, Steilberg, Jackson, Schiefelbein, Curran, Scheldrup, Melissa, Gombolay, Matthew, Ramirez, Mabel D.
In cooperative training, humans within a team coordinate on complex tasks, building mental models of their teammates and learning to adapt to teammates' actions in real-time. To reduce the often prohibitive scheduling constraints associated with coop
Externí odkaz:
http://arxiv.org/abs/2412.17954
Autor:
Paleja, Rohan, Chen, Letian, Niu, Yaru, Silva, Andrew, Li, Zhaoxin, Zhang, Songan, Ritchie, Chace, Choi, Sugju, Chang, Kimberlee Chestnut, Tseng, Hongtei Eric, Wang, Yan, Nageshrao, Subramanya, Gombolay, Matthew
Interpretability in machine learning is critical for the safe deployment of learned policies across legally-regulated and safety-critical domains. While gradient-based approaches in reinforcement learning have achieved tremendous success in learning
Externí odkaz:
http://arxiv.org/abs/2311.10041