| An lstm based system for prediction of human activities with durations K Krishna, D Jain, SV Mehta, S Choudhary Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 67 | 2018 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 66 | 2021 |
| Hierarchical reinforcement learning for quadruped locomotion D Jain, A Iscen, K Caluwaerts 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 46 | 2019 |
| Provably robust blackbox optimization for reinforcement learning K Choromanski, A Pacchiano, J Parker-Holder, Y Tang, D Jain, Y Yang, ... Conference on robot learning, 683-696, 2020 | 38 | 2020 |
| i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops SW Abeyruwan, L Graesser, DB D’Ambrosio, A Singh, A Shankar, ... Conference on Robot Learning, 212-224, 2023 | 32 | 2023 |
| From pixels to legs: Hierarchical learning of quadruped locomotion D Jain, A Iscen, K Caluwaerts arXiv preprint arXiv:2011.11722, 2020 | 28 | 2020 |
| Fairness aware recommendations on behance N Modani, D Jain, U Soni, GK Gupta, P Agarwal Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 20 | 2017 |
| Reward machines for vision-based robotic manipulation A Camacho, J Varley, A Zeng, D Jain, A Iscen, D Kalashnikov 2021 IEEE International Conference on Robotics and Automation (ICRA), 14284 …, 2021 | 19 | 2021 |
| Hybrid random features K Choromanski, H Chen, H Lin, Y Ma, A Sehanobish, D Jain, MS Ryoo, ... arXiv preprint arXiv:2110.04367, 2021 | 18 | 2021 |
| Learning agile locomotion skills with a mentor A Iscen, G Yu, A Escontrela, D Jain, J Tan, K Caluwaerts 2021 IEEE International Conference on Robotics and Automation (ICRA), 2019-2025, 2021 | 18 | 2021 |
| Barkour: Benchmarking animal-level agility with quadruped robots K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ... arXiv preprint arXiv:2305.14654, 2023 | 15 | 2023 |
| Characterizing and modifying user experience of computing environments based on behavior logs D Jain, AR Sinha, D Gupta, N Sheoran, S Khosla, RN Sasidharan US Patent 11,551,239, 2023 | 14 | 2023 |
| Personalized creator recommendations N Modani, P Agarwal, GK Gupta, D Jain, U Soni US Patent App. 15/625,237, 2018 | 11 | 2018 |
| Disentangled planning and control in vision based robotics via reward machines A Camacho, J Varley, D Jain, A Iscen, D Kalashnikov arXiv preprint arXiv:2012.14464, 2020 | 10 | 2020 |
| ES-ENAS: combining evolution strategies with neural architecture search at no extra cost for reinforcement learning X Song, K Choromanski, J Parker-Holder, Y Tang, D Peng, D Jain, W Gao, ... CoRR, abs/2101.07415, 2021 | 9 | 2021 |
| Predictive analysis of target behaviors utilizing RNN-based user embeddings S Kim, D Jain, D Gupta, E Koh, B Kveton, N Sheoran, A Sinha, HH Bui, ... US Patent 10,558,852, 2020 | 9 | 2020 |
| Machine-learning models applied to interaction data for facilitating experience-based modifications to interface elements in online environments AR Sinha, D Jain, N Sheoran, D Gupta, S Khosla US Patent 11,023,819, 2021 | 7 | 2021 |
| Robotic table tennis: A case study into a high speed learning system DB D'Ambrosio, J Abelian, S Abeyruwan, M Ahn, A Bewley, J Boyd, ... arXiv preprint arXiv:2309.03315, 2023 | 5 | 2023 |
| Surveys without questions: a reinforcement learning approach AR Sinha, D Jain, N Sheoran, S Khosla, R Sasidharan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 257-264, 2019 | 4 | 2019 |
| When random search is not enough: Sample-efficient and noise-robust blackbox optimization of RL policies K Choromanski, A Pacchiano, J Parker-Holder, J Hsu, A Iscen, D Jain, ... arXiv preprint arXiv:1903.02993, 2019 | 4 | 2019 |
Krzysztof ChoromanskiGoogle Brain Robotics New York & Columbia UniversityVerified email at columbia.edu
