1 code implementation • 10 May 2024 • Joonho Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, WenJun Hu, Yeong-Dae Kwon, TaeHee Lee, Seungjai Min
Assessing response quality to instructions in language models is vital but challenging due to the complexity of human language across different contexts.
no code implementations • 18 Nov 2023 • Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
We consider the design of mechanisms that allocate limited resources among self-interested agents using neural networks.
no code implementations • 10 Jan 2023 • Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
We propose a new algorithm, SAFFE, that makes fair allocations with respect to the entire demands revealed over the horizon by accounting for expected future demands at each arrival time.
no code implementations • 21 Jun 2022 • Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Communication is important in many multi-agent reinforcement learning (MARL) problems for agents to share information and make good decisions.
no code implementations • 31 May 2022 • Parisa Hassanzadeh, Robert E. Tillman
Deep generative models, such as Generative Adversarial Networks (GANs), synthesize diverse high-fidelity data samples by estimating the underlying distribution of high dimensional data.
no code implementations • 14 Mar 2022 • Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
To improve the scalability of our approach to a greater number of task classes, we present an approximation based on state abstraction.
no code implementations • 5 Oct 2021 • Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
Institutions are increasingly relying on machine learning models to identify and alert on abnormal events, such as fraud, cyber attacks and system failures.
no code implementations • 9 Jun 2021 • Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
We consider a problem wherein jobs arrive at random times and assume random values.