64 citations · 64 across the 2 of their papers we have counts for
3 papers
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
Andrea Tagliabue, Dong-Ki Kim, Michael Everett +1
We propose a demonstration-efficient strategy to compress a computationally expensive Model Predictive Controller (MPC) into a more computationally efficient representation based o…
R-MADDPG for Partially Observable Environments and Limited Communication
Rose E. Wang, Michael Everett, Jonathan P. How
There are several real-world tasks that would benefit from applying multiagent reinforcement learning (MARL) algorithms, including the coordination among self-driving cars. The rea…
Planning Beyond the Sensing Horizon Using a Learned Context
Michael Everett, Justin Miller, Jonathan P. How
Last-mile delivery systems commonly propose the use of autonomous robotic vehicles to increase scalability and efficiency. The economic inefficiency of collecting accurate prior ma…