| 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 | 94 | 2022 |
| 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 | 94 | 2021 |
| 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 | 73 | 2022 |
| 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 | 45 | 2021 |
| 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 | 13* | 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 | 6* | 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 | 2 | 2023 |
| 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 | 1 | 2022 |
| Hamiltonian streamline-guided features Y Miao, JJ Corso Neurocomputing 120, 226-234, 2013 | 1 | 2013 |
| 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, 0 | 1* | |
| Predicting from Strings: Language Model Embeddings for Bayesian Optimization T Nguyen, Q Zhang, B Yang, C Lee, J Bornschein, Y Miao, S Perel, ... arXiv e-prints, arXiv: 2410.10190, 2024 | | 2024 |
| 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 |
| 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, 0 | | |
| 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), 0 | | |