Allen, Cameron

7 publications

NeurIPS 2025 Skill-Driven Neurosymbolic State Abstractions Alper Ahmetoglu, Steven James, Cameron Allen, Sam Lobel, David Abel, George Konidaris

NeurIPS 2024 Evidence of Learned Look-Ahead in a Chess-Playing Neural Network Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell

NeurIPS 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris

ICMLW 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen, Aaron T. Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael Littman, George Konidaris

AAAI 2022 Optimistic Initialization for Exploration in Continuous Control Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris

IJCAI 2021 Efficient Black-Box Planning Using Macro-Actions with Focused Effects Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

NeurIPS 2021 Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris