Cameron S. Allen 个人学术档案

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George KonidarisBrown在 cs.brown.edu 的电子邮件经过验证
Michael LittmanBrown University在 brown.edu 的电子邮件经过验证
Omer GottesmanAmazon在 amazon.com 的电子邮件经过验证
Kavosh AsadiResearch Scientist, Amazon在 amazon.com 的电子邮件经过验证
Sam LobelPhD Student, Brown University在 brown.edu 的电子邮件经过验证
Melrose RoderickPostdoc - Mila在 mila.quebec 的电子邮件经过验证
Neev ParikhBrown University, Stripe在 alumni.brown.edu 的电子邮件经过验证
Akhil BagariaPhD Student, Brown University在 brown.edu 的电子邮件经过验证
Matthew RiemerIBM, Mila在 us.ibm.com 的电子邮件经过验证
Tim KlingerIBM Research AI在 us.ibm.com 的电子邮件经过验证
Gerald TesauroIBM Research在 us.ibm.com 的电子邮件经过验证
Michael Fishman在 fishman.ai 的电子邮件经过验证
Nishanth KumarPh.D. Student, MIT在 mit.edu 的电子邮件经过验证
Natasha DanasPhD Student, Brown University在 brown.edu 的电子邮件经过验证
Stefanie TellexBrown University在 cs.brown.edu 的电子邮件经过验证
Michael KatzPrincipal Research Staff Member, IBM Research AI在 ibm.com 的电子邮件经过验证
Zhiyuan ZhouPhD student, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Dilip ArumugamPostdoctoral Research Associate - Princeton University在 cs.princeton.edu 的电子邮件经过验证
David AbelResearch Scientist, DeepMind在 deepmind.com 的电子邮件经过验证
D Ellis HershkowitzBrown University在 brown.edu 的电子邮件经过验证

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Cameron S. Allen

Postdoc, UC Berkeley

在 berkeley.edu 的电子邮件经过验证 - 首页

Artificial Intelligence Reinforcement Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Learning Markov State Abstractions for Deep Reinforcement Learning C Allen, N Parikh, O Gottesman, G Konidaris Advances in Neural Information Processing Systems 34, 2021	39	2021
Mean Actor Critic C Allen, K Asadi, M Roderick, A Mohamed, G Konidaris, M Littman arXiv preprint arXiv:1709.00503, 2017	36*	2017
Optimistic Initialization for Exploration in Continuous Control S Lobel, O Gottesman, C Allen, A Bagaria, G Konidaris Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7612-7619, 2022	11	2022
Efficient Black-Box Planning Using Macro-Actions with Focused Effects C Allen, M Katz, T Klinger, G Konidaris, M Riemer, G Tesauro Proceedings of the 30th International Joint Conference on Artificial …, 2021	5	2021
Bad-Policy Density: A Measure of Reinforcement Learning Hardness D Abel, C Allen, D Arumugam, DE Hershkowitz, ML Littman, LLS Wong ICML Workshop on Reinforcement Learning Theory, 2021	3	2021
Task Scoping: Generating Task-Specific Simplifications of Open-Scope Planning Problems M Fishman, N Kumar, C Allen, N Danas, M Littman, S Tellex, G Konidaris IJCAI Workshop on Bridging the Gap Between AI Planning and Reinforcement …, 2023	2*	2023
Coarse-grained smoothness for rl in metric spaces O Gottesman, K Asadi, C Allen, S Lobel, G Konidaris, M Littman arXiv preprint arXiv:2110.12276, 2021	2	2021
Characterizing the Action-Generalization Gap in Deep Q-Learning Z Zhou, C Allen, K Asadi, G Konidaris arXiv preprint arXiv:2205.05588, 2022	1	2022
Learning Portable Skills by Identifying Generalizing Features with an Attention-Based Ensemble ATDM Koch, Z Zhou, A Bagaria, H Fu, C Allen, G Konidaris OpenReview, 2023		2023
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy C Allen, AT Kirtland, RY Tao, S Lobel, D Scott, N Petrocelli, O Gottesman, ... ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 0

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