A minimalist guide to a few frameworks⁠—on Ubuntu and Vector computing⁠—for the person who was born yesterday

By a novice for the novice

Table of Content

• Part 1: Machine Learning Frameworks

• Part 2: Vector Cluster and Slurm

• Part 3: Using AirSim

• Part 4: Modifying AirSim

• (WIP) Part 5: RL with MuJoCo 2.10

• (WIP) Part 6: RL with Brax

• Part 7: Heterogeneous (UAV/UGV) Multirobot Teams with DJI's RoboMaster S1 and TT

Additional Resources

• Appendix A: Ubuntu 18 and NVIDIA Drivers

• List of AirSim APIs (by James Xu)

• Scripts and Files

Work carried out @ University of Toronto's Dynamic Systems Lab / Vector Institute / Mitacs Elevate