| Highly accurate machine fault diagnosis using deep transfer learning S Shao, S McAleer, R Yan, P Baldi IEEE Transactions on Industrial Informatics 15 (4), 2446-2455, 2018 | 1195 | 2018 |
| Solving the Rubik’s cube with deep reinforcement learning and search F Agostinelli*, S McAleer*, A Shmakov*, P Baldi Nature Machine Intelligence 1 (8), 356-363, 2019 | 231 | 2019 |
| Language Models can Solve Computer Tasks G Kim, P Baldi, S McAleer Neural Information Processing Systems (NeurIPS), 2023 | 218 | 2023 |
| Mastering the game of Stratego with model-free multiagent reinforcement learning J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ... Science 378 (6623), 990-996, 2022 | 197 | 2022 |
| Llemma: An Open Language Model for Mathematics Z Azerbayev, H Schoelkopf, K Paster, M Dos Santos, S McAleer, AQ Jiang, ... International Conference on Learning Representations (ICLR), 2023 | 151 | 2023 |
| AI Alignment: A Comprehensive Survey J Ji, T Qiu, B Chen, B Zhang, H Lou, K Wang, Y Duan, Z He, J Zhou, ... arXiv preprint arXiv:2310.19852, 2023 | 136 | 2023 |
| Solving the Rubik's Cube with Approximate Policy Iteration S McAleer*, F Agostinelli*, A Shmakov*, P Baldi International Conference on Learning Representations (ICLR), 2018 | 98* | 2018 |
| Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning Y Chen, Y Yang, T Wu, S Wang, X Feng, J Jiang, SM McAleer, H Dong, ... 36th Conference on Neural Information Processing Systems (NeurIPS 2022 …, 2022 | 81 | 2022 |
| Pipeline PSRO: A scalable approach for finding approximate nash equilibria in large games S McAleer*, J Lanier*, R Fox, P Baldi 34th Conference on Neural Information Processing Systems (NeurIPS), 2020 | 78 | 2020 |
| Evolutionary reinforcement learning for sample-efficient multiagent coordination S Majumdar, S Khadka, S Miret, S McAleer, K Tumer International Conference on Machine Learning (ICML), 2020 | 70 | 2020 |
| XDO: A double oracle algorithm for extensive-form games S McAleer, J Lanier, P Baldi, R Fox Advances in Neural Information Processing Systems (NeurIPS), 2021 | 55 | 2021 |
| Independent Natural Policy Gradient Always Converges in Markov Potential Games R Fox, S McAleer, W Overman, I Panageas AISTATS 2022, 2021 | 54 | 2021 |
| Neural auto-curricula in two-player zero-sum games X Feng, O Slumbers, Z Wan, B Liu, S McAleer, Y Wen, J Wang, Y Yang Advances in Neural Information Processing Systems (NeurIPS), 2021 | 48* | 2021 |
| Alphazero-like tree-search can guide large language model decoding and training Z Wan, X Feng, M Wen, SM McAleer, Y Wen, W Zhang, J Wang Forty-first International Conference on Machine Learning, 2024 | 34 | 2024 |
| Online Double Oracle LC Dinh, Y Yang, S McAleer, NP Nieves, O Slumbers, Z Tian, DH Mguni, ... Transactions on Machine Learning Research, 2021 | 30 | 2021 |
| White Paper: ARIANNA-200 high energy neutrino telescope A Anker, P Baldi, SW Barwick, D Bergman, H Bernhoff, DZ Besson, ... arXiv preprint arXiv:2004.09841, 2020 | 29 | 2020 |
| Deep-learning-based reconstruction of the neutrino direction and energy for in-ice radio detectors C Glaser, S McAleer, S Stjärnholm, P Baldi, SW Barwick Astroparticle Physics 145, 102781, 2023 | 28* | 2023 |
| Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games S McAleer, JB Lanier, K Wang, P Baldi, R Fox, T Sandholm International Conference on Learning Representations (ICLR), 2022 | 24* | 2022 |
| Reducing variance in temporal-difference value estimation via ensemble of deep networks L Liang, Y Xu, S McAleer, D Hu, A Ihler, P Abbeel, R Fox International Conference on Machine Learning (ICML), 2022 | 23* | 2022 |
| Curiosity-Driven Multi-Criteria Hindsight Experience Replay J Lanier, S McAleer, P Baldi NeurIPS 2019 Deep RL Workshop, 2019 | 23 | 2019 |
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
