Abrar Rahman

15 papers B 2Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning.
CoRR
Indranil Sur, Aswin Raghavan, Abrar Rahman, James Zachary Hare, Daniel N. Cassenti, Carl E. Busart
2024 J jnl
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs).
CoRR
Abrar Rahman, Garry Bowlin, Binit Mohanty, Sean McGunigal
2023 J jnl
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems.
CoRR
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023 J jnl
A domain-agnostic approach for characterization of lifelong learning systems.
Neural Networks
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2022 — conf
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoLLAs
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
2022 J jnl
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoRR
Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran
2022 B conf
Rental NFT Protocol With Advanced Rewards Splitting.
IEEE Big Data
Andrew Kirillov, Abrar Rahman, Ayush Aggarwal
2022 — conf
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
AIMLSystems
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022 J jnl
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
CoRR
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2021 B conf
Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network.
ICTAI
Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt
2021 — conf
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network.
IEEE BigData
Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt
2020 — conf
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN).
IEEE BigData
Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, Fuad Rahman
2020 J jnl
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer.
CoRR
Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran
2019 — conf
A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease.
IEEE BigData
Abrar Rahman, Yonathan Weiner, Hailey Swanson, Rebecca Slepian, Anusheh Abdullah, Marvin J. Slepian
2019 — conf
Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter.
IEEE BigData
Abrar Rahman, Ari Mitra, Fuad Rahman, Marvin J. Slepian