Zobrazeno 1 - 10
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pro vyhledávání: '"Hafez, A."'
Autor:
Hafez, Ahmad
Recently, there has been a substantial amount of interest in GNN-based anomaly detection. Existing efforts have focused on simultaneously mastering the node representations and the classifier necessary for identifying abnormalities with relatively sh
Externí odkaz:
http://arxiv.org/abs/2409.15304
Inspired by the success of the Transformer architecture in natural language processing and computer vision, we investigate the use of Transformers in Reinforcement Learning (RL), specifically in modeling the environment's dynamics using Transformer D
Externí odkaz:
http://arxiv.org/abs/2407.18841
Learning a locomotion controller for a musculoskeletal system is challenging due to over-actuation and high-dimensional action space. While many reinforcement learning methods attempt to address this issue, they often struggle to learn human-like gai
Externí odkaz:
http://arxiv.org/abs/2407.11658
Autor:
Hafez-Torbati, Mohsen
The cooperation of electronic correlation and spin-orbit coupling can stabilize magnetic topological insulators which host novel quantum phenomena such as the quantum anomalous Hall state also known as Chern insulator (CI). Here, we investigate the e
Externí odkaz:
http://arxiv.org/abs/2407.02630
Autor:
Ghaemi, Hafez, Jamshidi, Shirin, Mashreghi, Mohammad, Ahmadabadi, Majid Nili, Kebriaei, Hamed
Markov games (MGs) and multi-agent reinforcement learning (MARL) are studied to model decision making in multi-agent systems. Traditionally, the objective in MG and MARL has been risk-neutral, i.e., agents are assumed to optimize a performance metric
Externí odkaz:
http://arxiv.org/abs/2406.06041
Autor:
Nanwani, Laksh, Gupta, Kumaraditya, Mathur, Aditya, Agrawal, Swayam, Hafez, A. H. Abdul, Krishna, K. Madhava
Publikováno v:
Advanced Robotics - Taylor and Francis - 2024
Humans excel at forming mental maps of their surroundings, equipping them to understand object relationships and navigate based on language queries. Our previous work SI Maps [1] showed that having instance-level information and the semantic understa
Externí odkaz:
http://arxiv.org/abs/2404.17922
In this paper, we propose reachability analysis using constrained polynomial logical zonotopes. We perform reachability analysis to compute the set of states that could be reached. To do this, we utilize a recently introduced set representation calle
Externí odkaz:
http://arxiv.org/abs/2403.18564
Autor:
Talukder, Md. Simul Hasan, Akter, Sharmin, Nur, Abdullah Hafez, Aljaidi, Mohammad, Sulaiman, Rejwan Bin
Sugarcane, a key crop for the world's sugar industry, is prone to several diseases that have a substantial negative influence on both its yield and quality. To effectively manage and implement preventative initiatives, diseases must be detected promp
Externí odkaz:
http://arxiv.org/abs/2403.18870
Autor:
Hafez-Torbati, Mohsen, Uhrig, Götz S.
Despite the discovery of multiple intrinsic magnetic topological insulators in recent years the observation of Chern insulators is still restricted to very low temperatures due to the negligible charge gaps. Here, we uncover the potential of heavy tr
Externí odkaz:
http://arxiv.org/abs/2402.12918
Classical multi-agent reinforcement learning (MARL) assumes risk neutrality and complete objectivity for agents. However, in settings where agents need to consider or model human economic or social preferences, a notion of risk must be incorporated i
Externí odkaz:
http://arxiv.org/abs/2402.05906