RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 12, 2022
Source ID
10.1007/s00521-022-08119-y

Entities

People

  • Balaraman Ravindran
  • Harsha Kokel
  • Prasad Tadepalli
  • Sriraam Natarajan

Organizations

  • Air Force Office of Scientific Research
  • Army Research Office
  • Defense Advanced Research Projects Agency
  • National Science Foundation

Tags

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms