14 citations · 14 across the 1 of their papers we have counts for
3 papers
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…
Open Badges: A Low-Cost Toolkit for Measuring Team Communication and Dynamics
Oren Lederman, Dan Calacci, Angus MacMullen +3
We present Open Badges, an open-source framework an toolkit for measuring and shaping face-to-face social interactions using either custom hardware devices or smart phones, and rea…