Obserwuj
Yingjie Miao
Yingjie Miao
Google
Zweryfikowany adres z buffalo.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
312021
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
142022
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
112021
RL-DARTS: differentiable architecture search for reinforcement learning
Y Miao, X Song, D Peng, S Yue, JD Co-Reyes, E Brevdo, A Faust
arXiv preprint arXiv:2106.02229, 2021
42021
Hamiltonian streamline-guided features
Y Miao, JJ Corso
Neurocomputing 120, 226-234, 2013
12013
Multi-objective evolution for Generalizable Policy Gradient Algorithms
JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust
arXiv preprint arXiv:2204.04292, 2022
2022
Differentiable Architecture Search for Reinforcement Learning
Y Miao, X Song, JD Co-Reyes, D Peng, S Yue, E Brevdo, A Faust
First Conference on Automated Machine Learning (Main Track), 2022
2022
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
2022
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–8