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Yingjie Miao
Yingjie Miao
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Bestätigte E-Mail-Adresse bei buffalo.edu
Titel
Zitiert von
Zitiert von
Jahr
Evolving reinforcement learning algorithms
JD Co-Reyes, Y Miao, D Peng, E Real, S Levine, QV Le, H Lee, A Faust
arXiv preprint arXiv:2101.03958, 2021
772021
Automated reinforcement learning (autorl): A survey and open problems
J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ...
Journal of Artificial Intelligence Research 74, 517-568, 2022
682022
Environment generation for zero-shot compositional reinforcement learning
I Gur, N Jaques, Y Miao, J Choi, M Tiwari, H Lee, A Faust
Advances in Neural Information Processing Systems 34, 4157-4169, 2021
332021
Understanding html with large language models
I Gur, O Nachum, Y Miao, M Safdari, A Huang, A Chowdhery, S Narang, ...
arXiv preprint arXiv:2210.03945, 2022
292022
Differentiable architecture search for reinforcement learning
Y Miao, X Song, JD Co-Reyes, D Peng, S Yue, E Brevdo, A Faust
International Conference on Automated Machine Learning, 20/1-17, 2022
11*2022
Multi-objective evolution for generalizable policy gradient algorithms
JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
5*2022
Unified Functional Hashing in Automatic Machine Learning
R Gillard, S Jonany, Y Miao, M Munn, C de Souza, J Dungay, C Liang, ...
arXiv preprint arXiv:2302.05433, 2023
12023
reinforcement learning, autonomous agents, neural networks
J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ...
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 74, 517-568, 2022
12022
Hamiltonian streamline-guided features
Y Miao, JJ Corso
Neurocomputing 120, 226-234, 2013
12013
Scaling Offline Q-Learning with Vision Transformers
Y Miao, J Orbay, R Agarwal, A Kumar, G Tucker, A Faust
NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023
2023
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
R Rajan, J Parker-Holder, X Song, A Biedenkapp, Y Miao, T Eimer, ...
AutoML Conference 2023 (Journal Track), 2023
2023
Guided Evolution with Binary Predictors for ML Program Search
JD Co-Reyes, Y Miao, G Tucker, A Faust, E Real
ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 2023
2023
Reinforcement learning algorithm search
JD Co-Reyes, Y Miao, D Peng, SV Levine, QV Le, LEE Honglak, A Faust
US Patent App. 17/338,093, 2022
2022
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