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pro vyhledávání: '"Lee, Sebastian"'
Navigating multiple tasks$\unicode{x2014}$for instance in succession as in continual or lifelong learning, or in distributions as in meta or multi-task learning$\unicode{x2014}$requires some notion of adaptation. Evolution over timescales of millenni
Externí odkaz:
http://arxiv.org/abs/2408.08446
Suction cups offer a useful gripping solution, particularly in industrial robotics and warehouse applications. Vision-based grasp algorithms, like Dex-Net, show promise but struggle to accurately perceive dark or reflective objects, sub-resolution fe
Externí odkaz:
http://arxiv.org/abs/2401.06354
Suction cups are an important gripper type in industrial robot applications, and prior literature focuses on using vision-based planners to improve grasping success in these tasks. Vision-based planners can fail due to adversarial objects or lose gen
Externí odkaz:
http://arxiv.org/abs/2309.07360
Reinforcement learning (RL) algorithms have proven transformative in a range of domains. To tackle real-world domains, these systems often use neural networks to learn policies directly from pixels or other high-dimensional sensory input. By contrast
Externí odkaz:
http://arxiv.org/abs/2306.10404
Autor:
Jin, Lishuai, Yang, Yueying, Maldonado, Bryan O. Torres, Lee, Sebastian David, Figueroa, Nadia, Full, Robert J., Yang, Shu
Publikováno v:
Adv. Intell. Syst. (2023) 2300039
Soft robots have a myriad of potentials because of their intrinsically compliant bodies, enabling safe interactions with humans and adaptability to unpredictable environments. However, most of them have limited actuation speeds, require complex contr
Externí odkaz:
http://arxiv.org/abs/2210.16025
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, PMLR 162:12455-12477 (2022)
Continual learning - learning new tasks in sequence while maintaining performance on old tasks - remains particularly challenging for artificial neural networks. Surprisingly, the amount of forgetting does not increase with the dissimilarity between
Externí odkaz:
http://arxiv.org/abs/2205.09029
Autor:
Lee, Sebastian James Rice
The efficient exploration and characterization of potential energy surfaces paves the way for the theoretical elucidation of complex chemical processes. A potential energy surface arises from the application of the Born-Oppenheimer approximation when
Publikováno v:
Proceedings of the 38th International Conference on Machine Learning, PMLR 139:6109-6119, 2021
Continual learning-the ability to learn many tasks in sequence-is critical for artificial learning systems. Yet standard training methods for deep networks often suffer from catastrophic forgetting, where learning new tasks erases knowledge of earlie
Externí odkaz:
http://arxiv.org/abs/2107.04384