Jurgis Pašukonis
Google (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Black Holes and Theoretical Physics, Machine Learning and Data Classification, Topic Modeling, Particle physics theoretical and experimental studies
Most-Cited Works
- → Mastering Diverse Domains through World Models(2023)91 cited
- → Mastering diverse control tasks through world models(2025)56 cited
- → INVARIANTS OF TORIC SEIBERG DUALITY(2012)20 cited
- → Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark(2021)6 cited
- → Implementation of non-linear gauge-fixing in FeynArts package(2007)5 cited
- → GATS: Gather-Attend-Scatter(2024)1 cited
- → Non Linear Gauge Fixing for FeynArts(2007)1 cited
- → Evaluating Long-Term Memory in 3D Mazes(2022)
- → Nonlinear gauge-fixing in the FeynArts package(2007)
- BPS Operators and Brane Geometries(2013)