2 papers
cs.LG2020
On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality
Ezra Tampubolon, Haris Ceribasic, Holger Boche
In this work, we study the system of interacting non-cooperative two Q-learning agents, where one agent has the privilege of observing the other's actions. We show that this inform…
eess.SY2020
Resource-Aware Control via Dynamic Pricing for Congestion Game with Finite-Time Guarantees
Ezra Tampubolon, Haris Ceribasic, Holger Boche
Congestion game is a widely used model for modern networked applications. A central issue in such applications is that the selfish behavior of the participants may result in resour…