Accepted / Published Papers
A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments
Pierrick Lorang, Shivam Goel, Yash Shukla , Patrik Zips, Matthias Scheutz
To appear in proceedings of International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, 2024.
PDF
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly
Kei Ota, Devesh Jha, Siddarth Jain, William Yerazunis, Radu Corcodel, Yash Shukla , Antonia Bronars, Diego Romeres
To appear in proceedings of International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, 2024.
PDF Video
[Agent-Centric Human Demonstrations Train World Models[(https://aabl.cs.tufts.edu/papers/rlc2024_james.pdf)
James Staley, Shivam Goel, Yash Shukla , Elaine Short
In proceedings of the first Reinforcement Learning Conference (RLC), Amherst, Massachusetts, 2024.
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Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
Yash Shukla , Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez and Jivko Sinapov
International Conference on Automated Planning and Scheduling (ICAPS), Banff, Alberta, 2024.
ArXiv | Git
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents
Yash Shukla , Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright and Jivko Sinapov
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, NZ, 2024.
ArXiv | Camera-ready version coming soon
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 Git Video
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 Git Video
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
Formal and Natural Language assisted Curriculum Generation for Reinforcement Learning Agents
Yash Shukla
AAMAS Doctoral Consortium, 2024.
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.
PDF
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.
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