• 308 Citations
  • 8 h-Index
20052022
If you made any changes in Pure, your changes will be visible here soon.

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.

  • 9 Similar Profiles
Planning Engineering & Materials Science
Motion planning Engineering & Materials Science
Computer programming languages Engineering & Materials Science
Robotics Engineering & Materials Science
Static analysis Engineering & Materials Science
Semantics Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Real variables Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2019

  • 308 Citations
  • 8 h-Index
  • 19 Conference contribution
  • 4 Article
  • 3 Conference article
  • 1 Paper

Why can't you do that hal? Explaining unsolvability of planning tasks

Sreedharan, S., Srivastava, S., Smith, D. & Kambhampati, S., Jan 1 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 1422-1430 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Planning
Autonomous agents
Computational methods

Discrete-continuous mixtures in probabilistic programming: Generalized semantics and inference algorithms

Wu, Y., Srivastava, S., Hay, N., Du, S. S. & Russell, S., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 8494-8503 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 12).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bayesian networks
Computer programming
Computer programming languages
Semantics
Random variables

Hierarchical expertise level modeling for user specific contrastive explanations

Sreedharan, S., Srivastava, S. & Kambhampati, S., Jan 1 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2018-July. p. 4829-4836 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computational complexity

Learning generalized reactive policies using deep neural networks

Groshev, E., Goldstein, M., Tamar, A., Srivastava, S. & Abbeel, P., Jan 1 2018, In : Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 2018-June, p. 408-416 9 p.

Research output: Contribution to journalConference article

Planning
Feature extraction
Decision making
Deep neural networks
Neural networks
3 Citations (Scopus)

Platform-Independent Benchmarks for Task and Motion Planning

Lagriffoul, F., Dantam, N. T., Garrett, C., Akbari, A., Srivastava, S. & Kavraki, L. E., Oct 1 2018, In : IEEE Robotics and Automation Letters. 3, 4, p. 3765-3772 8 p., 8411475.

Research output: Contribution to journalArticle

Motion Planning
Motion planning
Benchmark
Covering Problem
Evaluation Method