| Conservative Safety Critics for Exploration H Bharadhwaj, A Kumar, N Rhinehart, S Levine, F Shkurti, A Garg ICLR 2021, 2021 | 132 | 2021 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 113 | 2023 |
| RecGAN: recurrent generative adversarial networks for recommendation systems H Bharadhwaj, H Park, BY Lim RecSys 2018, 2018 | 86 | 2018 |
| Meta-learning for user cold-start recommendation H Bharadhwaj IJCNN 2019, 2019 | 78 | 2019 |
| DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen ECCV, 2020, 2020 | 66* | 2020 |
| D2RL: Deep Dense Architectures in Reinforcement Learning S Sinha*, H Bharadhwaj*, A Srinivas, A Garg Deep RL Workshop (NeurIPS 2020), 2020 | 61 | 2020 |
| Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization H Bharadhwaj*, K Xie*, F Shkurti L4DC 2020, 2020 | 55 | 2020 |
| Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos H Xiong, Q Li, YC Chen, H Bharadhwaj, S Sinha, A Garg International Conference on Intelligent Robots and Systems (IROS 2021), 2021 | 51 | 2021 |
| Continual Model-Based Reinforcement Learning with Hypernetworks Y Huang, K Xie, H Bharadhwaj, F Shkurti International Conference on Robotics and Automation (ICRA 2021), 2021 | 44 | 2021 |
| DIBS: Diversity inducing Information Bottleneck in Model Ensembles S Sinha*, H Bharadhwaj*, A Goyal, H Larochelle, A Garg, F Shkurti AAAI, 2021, 2021 | 44 | 2021 |
| Phase matching in β-barium borate crystals for spontaneous parametric down-conversion S Karan, S Aarav, H Bharadhwaj, L Taneja, A De, G Kulkarni, N Meher, ... Journal of Optics 22 (8), 083501, 2020 | 40 | 2020 |
| A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies H Bharadhwaj*, Z Wang*, Y Bengio, L Paull International Conference on Robotics and Automation (ICRA 2019), 2019 | 39 | 2019 |
| CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Z Mandi, H Bharadhwaj, V Moens, S Song, A Rajeswaran, V Kumar CoRL 2022 Workshop on Pre-training for Robot Learning, 2023 | 36 | 2023 |
| Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking H Bharadhwaj, J Vakil, M Sharma, A Gupta, S Tulsiani, V Kumar International Conference on Robotics and Automation (ICRA 2024), 2024 | 32 | 2024 |
| Information Prioritization through Empowerment in Visual Model-based RL H Bharadhwaj, M Babaeizadeh, D Erhan, S Levine International Conference on Learning Representations (ICLR 2022), 2022 | 24 | 2022 |
| Latent Skill Planning for Exploration and Transfer K Xie, H Bharadhwaj, D Hafner, A Garg, F Shkurti International Conference on Learning Representations (ICLR 2021), 2021 | 24* | 2021 |
| A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation V Khare, D Mahajan, H Bharadhwaj, V Verma, P Rai WACV 2020, 2019 | 24 | 2019 |
| Explanations for temporal recommendations H Bharadhwaj, S Joshi XAI Workshop, IJCAI 2018, 2018 | 23 | 2018 |
| Simplifying model-based rl: learning representations, latent-space models, and policies with one objective R Ghugare, H Bharadhwaj, B Eysenbach, S Levine, R Salakhutdinov International Conference on Learning Representations (ICLR 2023), 2023 | 20 | 2023 |
| Zero-Shot Robot Manipulation from Passive Human Videos H Bharadhwaj, A Gupta, S Tulsiani, V Kumar ICRA 2023 Workshop on Pre-training for Robot Learning, 2023 | 18 | 2023 |
Animesh GargGeorgia Institute of Technology, University of Toronto, Nvidia在 gatech.edu 的电子邮件经过验证
