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.

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

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.

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

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.

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.