Výsledky vyhledávání - "Fotiadis, Filippos"

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Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach

Autor: Liu, Xinjie, Li, Jingqi, Fotiadis, Filippos, Karabag, Mustafa O., Milzman, Jesse, Fridovich-Keil, David, Topcu, Ufuk

Common feedback strategies in multi-agent dynamic games require all players' state information to compute control strategies. However, in real-world scenarios, sensing and communication limitations between agents make full state feedback expensive or

Externí odkaz: http://arxiv.org/abs/2410.16441

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Convergence Rates of Online Critic Value Function Approximation in Native Spaces

Autor: Niu, Shengyuan, Bouland, Ali, Wang, Haoran, Fotiadis, Filippos, Kurdila, Andrew, L'Afflitto, Andrea, Paruchuri, Sai Tej, Vamvoudakis, Kyriakos G.

In this paper, the evolution equation that defines the online critic for the approximation of the optimal value function is cast in a general class of reproducing kernel Hilbert spaces (RKHSs). Exploiting some core tools of RKHS theory, this formulat

Externí odkaz: http://arxiv.org/abs/2405.05887

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Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking

Autor: Kanellopoulos, Aris, Fotiadis, Filippos, Sun, Chuangchuang, Xu, Zhe, Vamvoudakis, Kyriakos G., Topcu, Ufuk, Dixon, Warren E.

In this paper, we develop safe reinforcement-learning-based controllers for systems tasked with accomplishing complex missions that can be expressed as linear temporal logic specifications, similar to those required by search-and-rescue missions. We

Externí odkaz: http://arxiv.org/abs/2104.02547

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