80 citations · 236 across the 21 of their papers we have counts for
4 papers · 1 filter
How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +3
In this empirical paper, we investigate how learning agents can be arranged in more efficient communication topologies for improved learning. This is an important problem because a…
The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence
Abdullah Almaatouq, Alejandro Noriega-Campero, Abdulrahman Alotaibi +3
Social networks continuously change as new ties are created and existing ones fade. It is widely noted that our social embedding exerts a strong influence on what information we re…
Influencing Flock Formation in Low-Density Settings
Daniel Y. Fu, Emily S. Wang, Peter M. Krafft +1
Flocking is a coordinated collective behavior that results from local sensing between individual agents that have a tendency to orient towards each other. Flocking is common among…
An Experimental Study of Cryptocurrency Market Dynamics
Peter M Krafft, Nicolás Della Penna, Alex Pentland
As cryptocurrencies gain popularity and credibility, marketplaces for cryptocurrencies are growing in importance. Understanding the dynamics of these markets can help to assess how…