Ethan A. Brooks

According to our database, Ethan A. Brooks authored at least 4 papers between 2021 and 2023.

Collaborative distances:

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

2023

Large Language Models can Implement Policy Iteration.

Ethan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In-context Reinforcement Learning with Algorithm Distillation.

Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

In-Context Policy Iteration.

Ethan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh

CoRR, 2022

2021

Reinforcement Learning of Implicit and Explicit Control Flow Instructions.

Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh

Proceedings of the 38th International Conference on Machine Learning, 2021