Cameron Allen

According to our database, Cameron Allen authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces.

Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Characterizing the Action-Generalization Gap in Deep Q-Learning.

Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris

CoRR, 2022

Optimistic Initialization for Exploration in Continuous Control.

Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Coarse-Grained Smoothness for RL in Metric Spaces.

Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman

CoRR, 2021

Bad-Policy Density: A Measure of Reinforcement Learning Hardness.

David Abel, Cameron Allen, Dilip Arumugam, D. Ellis Hershkowitz, Michael L. Littman, Lawson L. S. Wong

CoRR, 2021

Learning Markov State Abstractions for Deep Reinforcement Learning.

Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Black-Box Planning Using Macro-Actions with Focused Effects.

Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic.

Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

CoRR, 2020

2017

Mean Actor Critic.

Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George Dimitri Konidaris, Michael L. Littman

CoRR, 2017