4 citations · 8 across the 2 of their papers we have counts for
5 papers
When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits
Udari Madhushani, Naomi Leonard
In cooperative bandits, a framework that captures essential features of collective sequential decision making, agents can minimize group regret, and thereby improve performance, by…
Distributed Bandits: Probabilistic Communication on -regular Graphs
Udari Madhushani, Naomi Ehrich Leonard
We study the decentralized multi-agent multi-armed bandit problem for agents that communicate with probability over a network defined by a -regular graph. Every edge in the grap…
Heterogeneous Explore-Exploit Strategies on Multi-Star Networks
Udari Madhushani, Naomi Leonard
We investigate the benefits of heterogeneity in multi-agent explore-exploit decision making where the goal of the agents is to maximize cumulative group reward. To do so we study a…
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments
Udari Madhushani, Naomi Ehrich Leonard
We study cost-effective communication strategies that can be used to improve the performance of distributed learning systems in resource-constrained environments. For distributed l…
A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem
Udari Madhushani, Naomi Ehrich Leonard
We define and analyze a multi-agent multi-armed bandit problem in which decision-making agents can observe the choices and rewards of their neighbors under a linear observation cos…