A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning
Yash Shukla , Bharat Kesari, Shivam Goel, Robert Wright and Jivko Sinapov
International Conference on Intelligent Robots and Systems (IROS), Detroit, 2023.
[PDF] | [Video] | [Git]

Automaton-guided Curriculum Generation for Reinforcement Learning Agents
Yash Shukla , Abhishek Kulkarni, Robert Wright, Alvaro Velasquez and Jivko Sinapov
33rd International Conference on Automated Planning and Scheduling (ICAPS), Prague, 2023.
[PDF] | [Git]

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

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

Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment
Gyan Tatiya, Yash Shukla, Michael Edegware and Jivko Sinapov
International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA (Virtual), 2020
[PDF] | [Git]

Peer-reviewed Workshop papers / Doctoral Consortiums

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

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

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