Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. - Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Yang Hu 004; Nicholas Ketz; Soheil Kolouri; Jeffrey L. Krichmar; Praveen K. Pilly; Andrea Soltoggio (CoRR, 2019)

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. - Eseoghene Ben-Iwhiwhu; Pawel Ladosz; Jeffery Dick; Wen-Hua Chen 001; Praveen K. Pilly; Andrea Soltoggio (GECCO, 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)

Context meta-reinforcement learning via neuromodulation. - Eseoghene Ben-Iwhiwhu; Jeffery Dick; Nicholas A. Ketz; Praveen K. Pilly; Andrea Soltoggio (Neural Networks, 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)

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 (CoLLAs, 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)

Lifelong Reinforcement Learning with Modulating Masks. - Eseoghene Ben-Iwhiwhu; Saptarshi Nath; Praveen K. Pilly; Soheil Kolouri; Andrea Soltoggio (Trans. Mach. Learn. Res., 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; et al. (Neural Networks, 2023)

Statistical Context Detection for Deep Lifelong Reinforcement Learning. - Jeffery Dick; Saptarshi Nath; Christos Peridis; Eseoghene Ben-Iwhiwhu; Soheil Kolouri; Andrea Soltoggio (CoLLAs, 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; et al. (Nat. Mac. Intell., 2024)

Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts. - Saptarshi Nath; Christos Peridis; Eseoghene Ben-Iwhiwhu; Xinran Liu; Soheil Kolouri; Peter Kinnell; Zexin Li; Cong Liu; Shirin Dora; Andrea Soltoggio (CoRR, 2025)