Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Luo, Baiting"'
Autor:
Pettet, Ava, Zhang, Yunuo, Luo, Baiting, Wray, Kyle, Baier, Hendrik, Laszka, Aron, Dubey, Abhishek, Mukhopadhyay, Ayan
Sequential decision-making under uncertainty is present in many important problems. Two popular approaches for tackling such problems are reinforcement learning and online search (e.g., Monte Carlo tree search). While the former learns a policy by in
Externí odkaz:
http://arxiv.org/abs/2401.03197
A fundamental (and largely open) challenge in sequential decision-making is dealing with non-stationary environments, where exogenous environmental conditions change over time. Such problems are traditionally modeled as non-stationary Markov decision
Externí odkaz:
http://arxiv.org/abs/2401.01841
Autor:
Luo, Baiting, Ramakrishna, Shreyas, Pettet, Ava, Kuhn, Christopher, Karsai, Gabor, Mukhopadhyay, Ayan
Learning Enabled Components (LEC) have greatly assisted cyber-physical systems in achieving higher levels of autonomy. However, LEC's susceptibility to dynamic and uncertain operating conditions is a critical challenge for the safety of these systems
Externí odkaz:
http://arxiv.org/abs/2302.09750
Despite recent advances in autonomous driving systems, accidents such as the fatal Uber crash in 2018 show these systems are still susceptible to edge cases. Such systems must be thoroughly tested and validated before being deployed in the real world
Externí odkaz:
http://arxiv.org/abs/2208.06309
Autonomous Cyber-Physical Systems must often operate under uncertainties like sensor degradation and shifts in the operating conditions, which increases its operational risk. Dynamic Assurance of these systems requires designing runtime safety compon
Externí odkaz:
http://arxiv.org/abs/2202.13510
While connected vehicle (CV) applications have the potential to revolutionize traditional transportation system, cyber and physical attacks on them could be devastating. In this work, we propose an efficient dual cyber-physical blockchain framework t
Externí odkaz:
http://arxiv.org/abs/2102.07690