| Fundamentals of deep learning N Buduma, N Buduma, J Papa " O'Reilly Media, Inc.", 2022 | 583 | 2022 |
| Robustfill: Neural program learning under noisy i/o J Devlin, J Uesato, S Bhupatiraju, R Singh, A Mohamed, P Kohli International conference on machine learning, 990-998, 2017 | 364 | 2017 |
| The mirage of action-dependent baselines in reinforcement learning G Tucker, S Bhupatiraju, S Gu, R Turner, Z Ghahramani, S Levine International conference on machine learning, 5015-5024, 2018 | 108 | 2018 |
| Skill rating for generative models C Olsson, S Bhupatiraju, T Brown, A Odena, I Goodfellow arXiv preprint arXiv:1808.04888, 2018 | 39 | 2018 |
| The DeepMind JAX Ecosystem, 2020 I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind, 2010 | 39 | 2010 |
| Lower central series of a free associative algebra over the integers and finite fields S Bhupatiraju, P Etingof, D Jordan, W Kuszmaul, J Li Journal of Algebra 372, 251-274, 2012 | 26 | 2012 |
| Deep API Programmer: Learning to Program with APIs S Bhupatiraju, R Singh, A Mohamed, P Kohli arXiv preprint arXiv:1704.04327, 2017 | 19 | 2017 |
| The DeepMind JAX Ecosystem I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind 24, 25, 2020 | 16 | 2020 |
| RLax: Reinforcement Learning in JAX, 2020 D Budden, M Hessel, J Quan, S Kapturowski, K Baumli, S Bhupatiraju, ... URL http://github. com/deepmind/rlax, 0 | 7 | |
| Towards mixed optimization for reinforcement learning with program synthesis S Bhupatiraju, KK Agrawal, R Singh arXiv preprint arXiv:1807.00403, 2018 | 6 | 2018 |
| Combining model-based and model-free RL via multi-step control variates T Che, Y Lu, G Tucker, S Bhupatiraju, S Gu, S Levine, Y Bengio | 5 | 2018 |
| Model ai assignments 2019 TW Neller, R Sooriamurthi, M Guerzhoy, L Zhang, P Talaga, C Archibald, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9751-9753, 2019 | 4 | 2019 |
| RobustFill: Neural Program Learning under Noisy I/O. CoRR abs/1703.07469 (2017) J Devlin, J Uesato, S Bhupatiraju, R Singh, A Mohamed, P Kohli arXiv preprint arXiv:1703.07469, 2017 | 4 | 2017 |
| Multi-Agent Path Finding for Precedence-Constrained Goal Sequences H Zhang, J Chen, J Li, B Williams, S Koenig International Joint Conference on Autonomous Agents and Multiagent Systems …, 2022 | 2 | 2022 |
| Model AI Assignments 2020 TW Neller, S Keeley, M Guerzhoy, W Hoenig, J Li, S Koenig, A Soni, ... Proceedings of the AAAI conference on artificial intelligence 34 (09), 13509 …, 2020 | 1 | 2020 |
| Depth First Learning: Learning to Understand Machine Learning A Oliver, S Bhupatiraju, C Resnick, KK Agrawal | 1 | 2018 |
| Iris: Third-Party Authentication Service A Padmanabha, K Chen, S Bhupatiraju, T Zhang | | 2015 |
| On the Complexity of the Marginal Satisfiability Problem S Bhupatiraju | | 2012 |
Rishabh SinghResearch Scientist, Google BrainVerified email at google.com
