| Rapid-learn: A framework for learning to recover for handling novelties in open-world environments S Goel, Y Shukla, V Sarathy, M Scheutz, J Sinapov 2022 IEEE International Conference on Development and Learning (ICDL), 15-22, 2022 | 11 | 2022 |
| Haptic knowledge transfer between heterogeneous robots using kernel manifold alignment G Tatiya, Y Shukla, M Edegware, J Sinapov 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 8 | 2020 |
| Acute: Automatic curriculum transfer from simple to complex environments Y Shukla, C Thierauf, R Hosseini, G Tatiya, J Sinapov arXiv preprint arXiv:2204.04823, 2022 | 6 | 2022 |
| Automaton-guided curriculum generation for reinforcement learning agents Y Shukla, A Kulkarni, R Wright, A Velasquez, J Sinapov Proceedings of the International Conference on Automated Planning and …, 2023 | 2 | 2023 |
| LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents Y Shukla, W Gao, V Sarathy, A Velasquez, R Wright, J Sinapov arXiv preprint arXiv:2310.09454, 2023 | 1 | 2023 |
| Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents Y Shukla, W Gao, V Sarathy, A Velasquez, R Wright, J Sinapov arXiv preprint arXiv:2402.03678, 2024 | | 2024 |
| A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning Y Shukla, B Kesari, S Goel, R Wright, J Sinapov 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
| An Object-Oriented Approach for Generating Low-Fidelity Environments for Curriculum Schema Transfer Y Shukla, K Loar, R Wright, J Sinapov Scaling Robot Learning Workshop at ICRA 2022, 2022 | | 2022 |
| A Framework for Curriculum Schema Transfer from Low-Fidelity to High-Fidelity Environments Y Shukla, J Sinpov 3rd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics at …, 2022 | | 2022 |
Jivko SinapovAssistant Professor, Tufts UniversityVerified email at cs.tufts.edu
