Maksis Knutins

According to our database, Maksis Knutins authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training.

Abraham J. Fetterman, Ellie Kitanidis, Joshua Albrecht, Zachary Polizzi, Bryden Fogelman, Maksis Knutins, Bartosz Wróblewski, James B. Simon, Kanjun Qiu

CoRR, 2023

On the Stepwise Nature of Self-Supervised Learning.

James B. Simon, Maksis Knutins, Ziyin Liu, Daniel Geisz, Abraham J. Fetterman, Joshua Albrecht

Proceedings of the International Conference on Machine Learning, 2023

2022

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds.

Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zachary Polizzi, James B. Simon, Kanjun Qiu

CoRR, 2022

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds.

Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zack Polizzi, James Simon, Kanjun Qiu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations.

Alvaro Cabrejas Egea, Shaun Howell, Maksis Knutins, Colm Connaughton

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020