Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Parkar, Devendra"'
Autor:
Bavikadi, Divyagna, Aditya, Dyuman, Parkar, Devendra, Shakarian, Paulo, Mueller, Graham, Parvis, Chad, Simari, Gerardo I.
The ability to generate artificial human movement patterns while meeting location and time constraints is an important problem in the security community, particularly as it enables the study of the analog problem of detecting such patterns while main
Externí odkaz:
http://arxiv.org/abs/2407.06447
Local interactions drive emergent collective behavior, which pervades biological and social complex systems. But uncovering the interactions that produce a desired behavior remains a core challenge. In this paper, we present EvoSOPS, an evolutionary
Externí odkaz:
http://arxiv.org/abs/2404.05915
Autor:
Mukherji, Kaustuv, Parkar, Devendra, Pokala, Lahari, Aditya, Dyuman, Shakarian, Paulo, Dorman, Clark
Recent advances in reinforcement learning (RL) have shown much promise across a variety of applications. However, issues such as scalability, explainability, and Markovian assumptions limit its applicability in certain domains. We observe that many o
Externí odkaz:
http://arxiv.org/abs/2310.06835
Autor:
Weber, Jamison W., Giriyan, Dhanush R., Parkar, Devendra R., Bertsekas, Dimitri P., Richa, Andréa W.
In this work we consider a generalization of the well-known multivehicle routing problem: given a network, a set of agents occupying a subset of its nodes, and a set of tasks, we seek a minimum cost sequence of movements subject to the constraint tha
Externí odkaz:
http://arxiv.org/abs/2305.15596