23 citations · 43 across the 3 of their papers we have counts for
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cs.LG2024★ 23 cited
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems. Learning with little supervision ca…
cs.LG2023★ 2 cited
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Transferring knowledge in cross-domain reinforcement learning is a challenging setting in which learning is accelerated by reusing knowledge from a task with different observation…