| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3417 | 2023 |
| Offline reinforcement learning: Tutorial, review, and perspectives on open problems S Levine, A Kumar, G Tucker, J Fu arXiv preprint arXiv:2005.01643, 2020 | 2259 | 2020 |
| Conservative q-learning for offline reinforcement learning A Kumar, A Zhou, G Tucker, S Levine Advances in Neural Information Processing Systems 33, 1179-1191, 2020 | 2157 | 2020 |
| D4rl: Datasets for deep data-driven reinforcement learning J Fu, A Kumar, O Nachum, G Tucker, S Levine arXiv preprint arXiv:2004.07219, 2020 | 1349 | 2020 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 1266 | 2024 |
| Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction A Kumar, J Fu, G Tucker, S Levine NeuRIPS 2019, arXiv:1906.00949, 2019 | 1223 | 2019 |
| Advantage-weighted regression: Simple and scalable off-policy reinforcement learning XB Peng, A Kumar, G Zhang, S Levine arXiv preprint arXiv:1910.00177, 2019 | 594 | 2019 |
| Combo: Conservative offline model-based policy optimization T Yu, A Kumar, R Rafailov, A Rajeswaran, S Levine, C Finn Advances in neural information processing systems 34, 28954-28967, 2021 | 472 | 2021 |
| Trainable calibration measures for neural networks from kernel mean embeddings A Kumar, S Sarawagi, U Jain International Conference on Machine Learning, 2805-2814, 2018 | 334 | 2018 |
| Graph Normalizing Flows J Liu, A Kumar, J Ba, J Kiros, K Swersky NeurIPS 2019, arxiv:1905.13177, 2019 | 316* | 2019 |
| Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters C Snell, J Lee, K Xu, A Kumar arXiv preprint arXiv:2408.03314, 2024 | 254 | 2024 |
| Opal: Offline primitive discovery for accelerating offline reinforcement learning A Ajay, A Kumar, P Agrawal, S Levine, O Nachum arXiv preprint arXiv:2010.13611, 2020 | 200 | 2020 |
| Diagnosing Bottlenecks in Deep Q-learning Algorithms J Fu, A Kumar, M Soh, S Levine International Conference on Machine Learning (ICML) 2019, https://arxiv.org …, 2019 | 173 | 2019 |
| Conservative safety critics for exploration H Bharadhwaj, A Kumar, N Rhinehart, S Levine, F Shkurti, A Garg arXiv preprint arXiv:2010.14497, 2020 | 159 | 2020 |
| When should we prefer offline reinforcement learning over behavioral cloning? A Kumar, J Hong, A Singh, S Levine arXiv preprint arXiv:2204.05618, 2022 | 156* | 2022 |
| Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability D Ghosh, J Rahme, A Kumar, A Zhang, RP Adams, S Levine Advances in neural information processing systems 34, 25502-25515, 2021 | 138 | 2021 |
| Implicit under-parameterization inhibits data-efficient deep reinforcement learning A Kumar, R Agarwal, D Ghosh, S Levine arXiv preprint arXiv:2010.14498, 2020 | 125 | 2020 |
| Discor: Corrective feedback in reinforcement learning via distribution correction A Kumar, A Gupta, S Levine Advances in Neural Information Processing Systems 33, 18560-18572, 2020 | 125 | 2020 |
| Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning M Nakamoto, S Zhai, A Singh, M Sobol Mark, Y Ma, C Finn, A Kumar, ... Advances in Neural Information Processing Systems 36, 2024 | 122 | 2024 |
| Cog: Connecting new skills to past experience with offline reinforcement learning A Singh, A Yu, J Yang, J Zhang, A Kumar, S Levine arXiv preprint arXiv:2010.14500, 2020 | 116 | 2020 |
Sergey LevineUC Berkeley, Physical IntelligenceВерификована је имејл адреса на eecs.berkeley.edu
George TuckerGoogle DeepMindВерификована је имејл адреса на google.com
Chelsea FinnStanford University, Physical IntelligenceВерификована је имејл адреса на cs.stanford.edu
Anikait SinghStanford UniversityВерификована је имејл адреса на stanford.edu
Rishabh AgarwalStaff Research Scientist, Google DeepMind. Adjunct Prof, McGillВерификована је имејл адреса на google.com
Yevgen ChebotarRobot AI at FigureВерификована је имејл адреса на figure.ai
Tianhe YuGoogle DeepMindВерификована је имејл адреса на google.comXue Bin PengAssistant Professor at Simon Fraser University, Research Scientist at NVIDIAВерификована је имејл адреса на sfu.ca
Kevin SwerskyGoogle BrainВерификована је имејл адреса на cs.toronto.edu