Multi-Vehicle Communication

Learning to communicate between vehicles efficiently and robustly.

In a coordinated, multi-vehicle scenario such as a convoy or fleet or autonomous cars, it is important for the autonomous cars to communicate efficiently and reliably. In this topic we have looked at some ways to do this using Deep Neural Networks.

Our Papers on Multi-Vehicle Communication

  1. Deep Multi Agent Reinforcement Learning for Autonomous Driving
    Sushrut Bhalla, Sriram Ganapathi Subramanian, and Mark Crowley
    In Canadian Conference on Artificial Intelligence. May, 2020.
    PDF URL
  2. Learning Multi-Agent Communication with Reinforcement Learning
    Sushrut Bhalla, Sriram Ganapathi Subramanian, and Mark Crowley
    In Conference on Reinforcement Learning and Decision Making (RLDM-19). Montreal, Canada. 2019.
  3. Training Cooperative Agents for Multi-Agent Reinforcement Learning
    Sushrut Bhalla, Sriram Ganapathi Subramanian, and Mark Crowley
    In Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). Montreal, Canada. 2019.