3 citations · 8 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2020★ 2 cited
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…
cs.LG2019★ 3 cited
Pricing Mechanism for Resource Sustainability in Competitive Online Learning Multi-Agent Systems
Ezra Tampubolon, Holger Boche
In this paper, we consider the problem of resource congestion control for competing online learning agents. On the basis of non-cooperative game as the model for the interaction be…