Yuan-Hao Chen

Sim-To-Real Transfer for Miniature Autonomous Car Racing

2020 · arXiv (Cornell University)

Sim-to-real, a term that describes where a model is trained in a simulator then transferred to the real world, is a technique that enables faster deep reinforcement learning (DRL) training. However, differences between the simulator …