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Cameron S. Allen
Cameron S. Allen
Postdoc, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Learning Markov State Abstractions for Deep Reinforcement Learning
C Allen, N Parikh, O Gottesman, G Konidaris
Advances in Neural Information Processing Systems 34, 2021
382021
Mean Actor Critic
C Allen, K Asadi, M Roderick, A Mohamed, G Konidaris, M Littman
arXiv preprint arXiv:1709.00503, 2017
35*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
102022
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
42021
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
32021
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
22021
Characterizing the Action-Generalization Gap in Deep Q-Learning
Z Zhou, C Allen, K Asadi, G Konidaris
arXiv preprint arXiv:2205.05588, 2022
12022
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 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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