Aditya Mahajan

Biography

Aditya Mahajan studies how several decision makers can pursue a shared goal when each sees only part of a changing system. He uses stochastic control and game theory to distinguish what each participant knows privately from what everyone knows in common. His group uses this distinction to design decision rules and reinforcement learning methods for teams.

Research topics

• Decentralized control
• Information structures
• Multi-agent reinforcement learning