Search Results for author: Nicholas A. Ketz

Found 3 papers, 1 papers with code

Context Meta-Reinforcement Learning via Neuromodulation

1 code implementation30 Oct 2021 Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio

Meta-reinforcement learning (meta-RL) algorithms enable agents to adapt quickly to tasks from few samples in dynamic environments.

Continuous Control Meta Reinforcement Learning +2

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations

no code implementations ICLR 2020 Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly

Deep neural networks suffer from the inability to preserve the learned data representation (i. e., catastrophic forgetting) in domains where the input data distribution is non-stationary, and it changes during training.

Incremental Learning

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