80 citations · 236 across the 21 of their papers we have counts for
3 papers · 1 filter
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +4
A common technique to improve learning performance in deep reinforcement learning (DRL) and many other machine learning algorithms is to run multiple learning agents in parallel. A…
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…
A Distributed Learning Dynamics in Social Groups
L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi
We study a distributed learning process observed in human groups and other social animals. This learning process appears in settings in which each individual in a group is trying t…