Evaluating the Perception, Understanding, and Forgetting of Progressive Neural Networks: A Quantitative and Qualitative Analysis

The use of virtual environments to collect the experience required by deep reinforcement learning models is accelerating the deployment of these algorithms in industrial environments. However, once the experience-gathering problem is solved, it is necessary to address how to efficiently transfer the...

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Hlavní autoři:	Lucía Güitta-López, Jaime Boal, Álvaro J. López-López
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-03-01
Edice:	AI
Témata:	deep reinforcement learning progressive neural networks sim-to-real sample efficiency representation learning
On-line přístup:	https://www.mdpi.com/2673-2688/7/4/120
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