17 citations · 54 across the 14 of their papers we have counts for
4 papers · 1 filter
Context Meta-Reinforcement Learning via Neuromodulation
Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz +2
Meta-reinforcement learning (meta-RL) algorithms enable agents to adapt quickly to tasks from few samples in dynamic environments. Such a feat is achieved through dynamic represent…
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick +3
Rapid online adaptation to changing tasks is an important problem in machine learning and, recently, a focus of meta-reinforcement learning. However, reinforcement learning (RL) al…
Attention-Based Structural-Plasticity
Soheil Kolouri, Nicholas Ketz, Xinyun Zou +2
Catastrophic forgetting/interference is a critical problem for lifelong learning machines, which impedes the agents from maintaining their previously learned knowledge while learni…
Neuromodulated Goal-Driven Perception in Uncertain Domains
Xinyun Zou, Soheil Kolouri, Praveen K. Pilly +1
In uncertain domains, the goals are often unknown and need to be predicted by the organism or system. In this paper, contrastive excitation backprop (c-EB) was used in a goal-drive…