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Marek Cygan

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

6

papers

187

total citations

papers (6)

Scaling Laws for Fine-Grained Mixture of Experts

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient

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

NEURIPS 2025arXiv

FlySearch: Exploring how vision-language models explore

NEURIPS 2025arXiv

Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning