HaoChih Lin — accepted AI-conference papers

2021

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning

Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza

ICRA 2021poster

Professional race-car drivers can execute extreme overtaking maneuvers. However, existing algorithms for autonomous overtaking either rely on simplified assumptions about the vehicle dynamics or try to solve expensive trajectory-optimization problems online. When the vehicle approaches its physical…

Cited by 104 Source ↗Scholar ↗

2021

No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE

HaoChih Lin, Baopu Li, Xin Zhou, Jiankun Wang, Max Q.-H. Meng

ICRA 2021poster

Interactions with either environments or expert policies during training are needed for most of the current imitation learning (IL) algorithms. For IL problems with no interactions, a typical approach is Behavior Cloning (BC). However, BC-like methods tend to be affected by distribution shift. To mi…

Cited by 9 Source ↗code ↗Scholar ↗