Vehicle Communication Strategies for Simulated Highway Driving
This work addresses coordination challenges for autonomous vehicles in simulated environments, but it appears incremental as it builds on existing emergent communication research without introducing major new methods.
The paper tackled the problem of self-driving cars coordinating on highways by studying how communication influences their collective behavior, finding that communication is most beneficial under adverse conditions.
Interest in emergent communication has recently surged in Machine Learning. The focus of this interest has largely been either on investigating the properties of the learned protocol or on utilizing emergent communication to better solve problems that already have a viable solution. Here, we consider self-driving cars coordinating with each other and focus on how communication influences the agents' collective behavior. Our main result is that communication helps (most) with adverse conditions.