Gao Peng

Full Name
G. Peng
Email
Phone
+31 20 592 4330
Room
M365
Department(s)
Function(s)
PhD student
Gao Peng

Research Interests: (multi agent) Reinforcement learning, Game theory( computational game solving). My long term goal is to enable agent to make intelligent decision in complex environment( multi objective, partial observation, multi agent, dynamic...); usually inspired by practical problems in game, robotic and energy, I develop efficient algorithm in general and seek for proper conceptions( either problem model or solution notions).

Current projects with external funding

  • Aligning citizens and systems (ALIGN4energy)