Stephen McAleer
Stephen McAleer
Postdoc, CMU
Verified email at - Homepage
Cited by
Cited by
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
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
Solving the Rubik's Cube with Approximate Policy Iteration
S McAleer*, F Agostinelli*, A Shmakov*, P Baldi
International Conference on Learning Representations (ICLR), 2018
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
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
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
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
Independent Natural Policy Gradient Always Converges in Markov Potential Games
R Fox, S McAleer, W Overman, I Panageas
AISTATS 2022, 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
Online Double Oracle
LC Dinh, Y Yang, S McAleer, NP Nieves, O Slumbers, Z Tian, DH Mguni, ...
Transactions on Machine Learning Research, 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
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
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
J Lanier, S McAleer, P Baldi
NeurIPS 2019 Deep RL Workshop, 2019
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
Capabilities of ARIANNA: neutrino pointing resolution and implications for future ultra-high energy neutrino astronomy
SW Barwick, G Gaswint, A Anker, P Baldi, J Beise, H Bernhoff, DZ Besson, ...
Language Models can Solve Computer Tasks
G Kim, P Baldi, S McAleer
arXiv preprint arXiv:2303.17491, 2023
Anytime PSRO for Two-Player Zero-Sum Games
S McAleer, K Wang, J Lanier, M Lanctot, P Baldi, T Sandholm, R Fox
arXiv preprint arXiv:2201.07700, 2022
Measuring the polarization reconstruction resolution of the ARIANNA neutrino detector with cosmic rays
A Anker, P Baldi, SW Barwick, J Beise, DZ Besson, S Bouma, M Cataldo, ...
Journal of Cosmology and Astroparticle Physics 2022 (04), 022, 2022
Improving sensitivity of the ARIANNA detector by rejecting thermal noise with deep learning
A Anker, P Baldi, SW Barwick, J Beise, DZ Besson, S Bouma, M Cataldo, ...
Journal of Instrumentation 17 (03), P03007, 2022
A* search without expansions: Learning heuristic functions with deep Q-networks
F Agostinelli, A Shmakov, S McAleer, R Fox, P Baldi
arXiv preprint arXiv:2102.04518, 2021
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