Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gui, Yikang"'
Autor:
Gui, Yikang, Doshi, Prashant
Inverse reinforcement learning (IRL) seeks to learn the reward function from expert trajectories, to understand the task for imitation or collaboration thereby removing the need for manual reward engineering. However, IRL in the context of large, hig
Externí odkaz:
http://arxiv.org/abs/2311.03698
The principle of maximum entropy is a broadly applicable technique for computing a distribution with the least amount of information possible while constrained to match empirically estimated feature expectations. However, in many real-world applicati
Externí odkaz:
http://arxiv.org/abs/2208.06988
Distributed task assignment for multiple agents raises fundamental and novel control theory and robotics problems. A new challenge is the development of distributed algorithms that dynamically assign tasks to multiple agents, not relying on prior ass
Externí odkaz:
http://arxiv.org/abs/2201.02750
The applicability of the swarm robots to perform foraging tasks is inspired by their compact size and cost. A considerable amount of energy is required to perform such tasks, especially if the tasks are continuous and/or repetitive. Real-world situat
Externí odkaz:
http://arxiv.org/abs/2112.15282
Autor:
Ni, Tianwei, Li, Huao, Agrawal, Siddharth, Raja, Suhas, Jia, Fan, Gui, Yikang, Hughes, Dana, Lewis, Michael, Sycara, Katia
Teamwork is a set of interrelated reasoning, actions and behaviors of team members that facilitate common objectives. Teamwork theory and experiments have resulted in a set of states and processes for team effectiveness in both human-human and agent-
Externí odkaz:
http://arxiv.org/abs/2103.04439
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