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20232026
most citedOverestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning

3 citations · 4 across the 9 of their papers we have counts for

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cs.RO2025

Debate2Create: Robot Co-design via Multi-Agent LLM Debate

Kevin Qiu, Marek Cygan

We introduce Debate2Create (D2C), a multi-agent LLM framework that formulates robot co-design as structured, iterative debate grounded in physics-based evaluation. A design agent a…

cs.LG2025

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Michal Nauman, Marek Cygan, Carmelo Sferrazza +2

Recent advances in language modeling and vision stem from training large models on diverse, multi-task data. This paradigm has had limited impact in value-based reinforcement learn…