Jurgis Pasukonis

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Function Approximation

Reinforcement Learning

Benchmark Suite

Top Venues

NeurIPS (Competition and Demos)

Publications

Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez Colmenarejo
GATS: Gather-Attend-Scatter. CoRR (2024)
Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner
Evaluating Long-Term Memory in 3D Mazes. ICLR (2023)
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy P. Lillicrap
Mastering Diverse Domains through World Models. CoRR (2023)
Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner
Evaluating Long-Term Memory in 3D Mazes. CoRR (2022)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR (2021)
Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) (2020)