Research output per year
Research output per year
Fingerprint
Dive into the research topics where Siddharth Srivastava is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Explain it as simple as possible, but no simpler – Explanation via model simplification for addressing inferential gap
Sreedharan, S., Srivastava, S. & Kambhampati, S., Mar 2025, In: Artificial Intelligence. 340, 104279.Research output: Contribution to journal › Article › peer-review
-
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings
Karia, R., Verma, P., Speranzon, A. & Srivastava, S., May 30 2024, Proceedings of the 34th International Conference on Automated Planning and Scheduling, ICAPS 2024. Bernardini, S. & Muise, C. (eds.). Association for the Advancement of Artificial Intelligence, p. 310-318 9 p. (Proceedings International Conference on Automated Planning and Scheduling, ICAPS; vol. 34).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations -
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention
Shah, N. & Srivastava, S., Mar 25 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 9 ed. Association for the Advancement of Artificial Intelligence, p. 10358-10367 10 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 9).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations -
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
Verma, P., Karia, R. & Srivastava, S., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning
Dadvar, M., Nayyar, R. K. & Srivastava, S., 2023, In: Proceedings of Machine Learning Research. 216, p. 485-495 11 p.Research output: Contribution to journal › Conference article › peer-review
-
Adaptive Training and Education for Adaptive AI Systems
Srivastava, S. (PI)
DOD-NAVY: Office of Naval Research (ONR)
5/1/23 → 4/30/26
Project: Research project
-
CAREER: Generalizable and Reliable Behavior Synthesis in Uncertain Open-World Environments
Srivastava, S. (PI)
National Science Foundation (NSF)
8/1/20 → 7/31/25
Project: Research project
-
IDEAS Project: Communication Planning for Safe Human-Robot Interaction
Srivastava, S. (PI)
INDUSTRY: Various Consortium Members
12/24/23 → 12/23/24
Project: Research project
-
Relational Abstractions for Transfer Reinforcement Learning
Srivastava, S. (PI)
6/27/23 → 1/31/24
Project: Research project
-
CES Core Project: Risk-aware Communication and Task Planning for Cobots Among Humans (2022)
Vrudhula, S. (CoI) & Srivastava, S. (PI)
INDUSTRY: Various Consortium Members
8/1/22 → 12/31/23
Project: Research project