I am interested in how algorithms developed for single-agent environments should be adapted to multiagent settings. My goal is to develop algorithms that intelligently reuse information in strategic interactions using models and concepts from game theory, bayesian reasoning, and reinforcement learning.


My research focuses mainly on three areas:

  • Multiagent systems
  • Game theory
  • (Deep) Reinforcement learning

Supervision of students:

  • Jonathan Serrano (Ph.D. in Computer Sciece)
  • Arzam M. Kotriwala (M.Sc. in Data Science)