Cameron Allen - RankMe

18 papers A* 5Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BXRL: Behavior-Explainable Reinforcement Learning. CoRR Ram Rachum, Yotam Amitai, Yonatan Nakar, Reuth Mirsky, Cameron Allen
2026	J	`jnl`	Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction. CoRR Tianyi Alex Qiu, Micah Carroll, Cameron Allen
2025	J	`jnl`	Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains. CoRR Ruo Yu Tao, Kaicheng Guo, Cameron Allen, George Dimitri Konidaris
2025	J	`jnl`	Focused Skill Discovery: Learning to Control Specific State Variables while Minimizing Side Effects. CoRR Jonathan Colaço Carr, Qinyi Sun, Cameron Allen
2025	J	`jnl`	From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning. CoRR Rafael Rodríguez-Sánchez, Cameron Allen, George Dimitri Konidaris
2024	A*	`conf`	Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. NeurIPS Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart J. Russell
2024	J	`jnl`	Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. CoRR Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell
2024	A*	`conf`	Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. NeurIPS Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2024	J	`jnl`	Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2022	J	`jnl`	Characterizing the Action-Generalization Gap in Deep Q-Learning. CoRR Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris
2022	A*	`conf`	Optimistic Initialization for Exploration in Continuous Control. AAAI Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris
2021	J	`jnl`	Bad-Policy Density: A Measure of Reinforcement Learning Hardness. CoRR David Abel, Cameron Allen, Dilip Arumugam, D. Ellis Hershkowitz, Michael L. Littman, Lawson L. S. Wong
2021	J	`jnl`	Coarse-Grained Smoothness for RL in Metric Spaces. CoRR Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman
2021	A*	`conf`	Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2021	A*	`conf`	Learning Markov State Abstractions for Deep Reinforcement Learning. NeurIPS Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
2021	J	`jnl`	Learning Markov State Abstractions for Deep Reinforcement Learning. CoRR Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
2020	J	`jnl`	Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2017	J	`jnl`	Mean Actor Critic. CoRR Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George Dimitri Konidaris, Michael L. Littman