Andrea Soltoggio — accepted AI-conference papers

2026

Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems

Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell +4

AAAI 2026technical

Agentic AI aims to create systems that set their own goals, adapt proactively to change, and refine behavior through continuous experience. Recent advances suggest that, when facing multiple and unforeseen tasks, agents could benefit from sharing machine-learned knowledge and reusing policies that h

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2020

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations

Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly

ICLR 2020spotlight

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. Various selective synaptic plasticity approaches have been recently proposed to…

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