Publications

Conference papers

Yash Shukla , Abhishek Kulkarni, Robert Wright, Alvaro Velasquez and Jivko Sinapov
Automaton-guided Curriculum Generation for Reinforcement Learning Agents
To appear in Proceedings of International Conference on Automated Planning and Scheduling (ICAPS), Prague, 2023.
[PDF]

Shivam Goel*, Yash Shukla* , Vasanth Sarathy, Matthias Scheutz, and Jivko Sinapov
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. (Oral Presentation)
To appear in Proceedings of International Conference on Development and Learning (ICDL), 2022
*Denotes equal contribution
[PDF]

Yash Shukla , Christopher Thierauf, Ramtin Hosseini, Gyan Tatiya and Jivko Sinapov
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments (Oral Presentation)
In Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Online, 2022.
[PDF] [VIDEO]

Gyan Tatiya, Yash Shukla, Michael Edegware and Jivko Sinapov
Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment
In proceedings of the IEEE/RSJ International Conference on Intelligent Robotsand Systems (IROS), Las Vegas, USA (Virtual), 2020
[PDF]

Peer-reviewed Workshop papers / Doctoral Consortiums

Yash Shukla
Towards Cross-Domain Knowledge Transfer for Robotics
In Proceedings of the ICAPS Doctoral Consortium, 2023.

Yash Shukla , Jivko Sinapov
A Framework for Curriculum Schema Transfer from Low-Fidelity to High-Fidelity Environments
In Proceedings of the 3rd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics at Robotics: Science and Systems (RSS), 2022.
[PDF]

Yash Shukla , Kaleb Loar, Robert Wright, Jivko Sinapov
An Object-Oriented Approach for Generating Low-Fidelity Environments for Curriculum Schema Transfer
In Proceedings of the Scaling Robot Learning Workshop at International Conference on Robotics and Automation (ICRA), 2022.
[PDF]