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)

Reducing the ambiguity of Parikh matrices. - Jeffery Dick; Laura K. Hutchinson; Robert Mercas; Daniel Reidenbach (Theor. Comput. Sci., 2021)

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)

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)

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