| Reinforcement learning with augmented data M Laskin, K Lee, A Stooke, L Pinto, P Abbeel, A Srinivas Advances in neural information processing systems 33, 19884-19895, 2020 | 717 | 2020 |
| # exploration: A study of count-based exploration for deep reinforcement learning H Tang, R Houthooft, D Foote, A Stooke, OAI Xi Chen, Y Duan, ... Advances in neural information processing systems 30, 2017 | 709 | 2017 |
| Decoupling representation learning from reinforcement learning A Stooke, K Lee, P Abbeel, M Laskin International conference on machine learning, 9870-9879, 2021 | 349 | 2021 |
| Responsive safety in reinforcement learning by pid lagrangian methods A Stooke, J Achiam, P Abbeel International Conference on Machine Learning, 9133-9143, 2020 | 278 | 2020 |
| OpenAI Xi Chen, Yan Duan, John Schulman, Filip DeTurck, and Pieter Abbeel.# exploration: A study of count-based exploration for deep reinforcement learning H Tang, R Houthooft, D Foote, A Stooke Advances in neural information processing systems 30, 2753-2762, 2017 | 236 | 2017 |
| Ultrafast internal conversion in ethylene. I. The excited state lifetime H Tao, TK Allison, TW Wright, AM Stooke, C Khurmi, J Van Tilborg, Y Liu, ... The Journal of chemical physics 134 (24), 2011 | 163 | 2011 |
| Open-ended learning leads to generally capable agents OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ... arXiv preprint arXiv:2107.12808, 2021 | 159 | 2021 |
| Accelerated methods for deep reinforcement learning A Stooke, P Abbeel arXiv preprint arXiv:1803.02811, 2018 | 142 | 2018 |
| Rubidium vapor laser pumped by two laser diode arrays BV Zhdanov, A Stooke, G Boyadjian, A Voci, RJ Knize Optics letters 33 (5), 414-415, 2008 | 118 | 2008 |
| rlpyt: A research code base for deep reinforcement learning in pytorch A Stooke, P Abbeel arXiv preprint arXiv:1909.01500, 2019 | 113 | 2019 |
| Ultrafast internal conversion in ethylene. II. Mechanisms and pathways for quenching and hydrogen elimination TK Allison, H Tao, WJ Glover, TW Wright, AM Stooke, C Khurmi, ... The Journal of chemical physics 136 (12), 2012 | 91 | 2012 |
| Laser diode array pumped continuous wave Rubidium vapor laser BV Zhdanov, A Stooke, G Boyadjian, A Voci, RJ Knize Optics express 16 (2), 748-751, 2008 | 67 | 2008 |
| Femtosecond spectroscopy with vacuum ultraviolet pulse pairs TK Allison, TW Wright, AM Stooke, C Khurmi, J van Tilborg, Y Liu, ... Optics letters 35 (21), 3664-3666, 2010 | 28 | 2010 |
| Method and apparatus for simulating a photon-counting detector array as used in a communication link AM Stooke US Patent 9,014,551, 2015 | 13 | 2015 |
| Optically pumped caesium-Freon laser BV Zhdanov, A Stooke, G Boyadjian, A Voci, RJ Knize Electronics Letters 44 (12), 1, 2008 | 12 | 2008 |
| Extreme encoder output frame rate reduction: Improving computational latencies of large end-to-end models R Prabhavalkar, Z Meng, W Wang, A Stooke, X Cai, Y He, A Narayanan, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 6 | 2024 |
| Internal language model personalization of e2e automatic speech recognition using random encoder features A Stooke, KC Sim, M Chua, T Munkhdalai, T Strohman 2022 IEEE Spoken Language Technology Workshop (SLT), 213-220, 2023 | 4 | 2023 |
| 17 Watts continuous wave Rubidium laser BV Zhdanov, A Stooke, G Boyadjian, A Voci, RJ Knize 2008 Conference on Lasers and Electro-Optics and 2008 Conference on Quantum …, 2008 | 3 | 2008 |
| Massive End-to-End Models for Short Search Queries W Wang, R Prabhavalkar, D Hwang, Q Li, KC Sim, B Li, J Qin, X Cai, ... arXiv preprint arXiv:2309.12963, 2023 | 2 | 2023 |
| Perception-prediction-reaction agents for deep reinforcement learning A Stooke, V Dalibard, SM Jayakumar, WM Czarnecki, M Jaderberg arXiv preprint arXiv:2006.15223, 2020 | 2 | 2020 |
