Erwan Plantec
Papers
1
Total Citations
1
H-Index
1
About
Erwan Plantec is a researcher at the forefront of artificial intelligence, specializing in neuroevolution, reinforcement learning (RL), and transfer learning. His work addresses a fundamental challenge in AI: enabling systems to continuously and efficiently transfer skills across tasks, a hallmark of biological intelligence that remains elusive in artificial systems. Plantec’s most-cited paper, "When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?" (2025), critically examines the brittleness of RL in high-dimensional control tasks and demonstrates scenarios where neuroevolutionary approaches offer superior adaptability and robustness. This work has already garnered attention, with 1 citation shortly after publication, signaling its growing impact in the field. By systematically comparing these paradigms, Plantec provides actionable insights for designing more flexible and transferable learning algorithms. His research bridges evolutionary computation and deep learning, offering a fresh perspective on lifelong learning and skill acquisition. For students and researchers exploring the frontiers of AI, Plantec’s contributions illuminate a path toward more resilient and generalizable intelligent systems.
Research Focus
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Top Papers
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