Eseoghene Ben-Iwhiwhu

According to our database, Eseoghene Ben-Iwhiwhu authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A collective AI via lifelong learning and sharing at the edge.

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri

Nat. Mac. Intell., 2024

Statistical Context Detection for Deep Lifelong Reinforcement Learning.

Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio

CoRR, 2024

2023

A domain-agnostic approach for characterization of lifelong learning systems.

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

Neural Networks, March, 2023

Lifelong Reinforcement Learning with Modulating Masks.

Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio

Trans. Mach. Learn. Res., 2023

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning.

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri

CoRR, 2023

Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks.

Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.

Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

IEEE Trans. Neural Networks Learn. Syst., 2022

Context meta-reinforcement learning via neuromodulation.

Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio

Neural Networks, 2022

2020

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments.

Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio

Frontiers Neurorobotics, 2020

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems.

Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.

Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

CoRR, 2019