2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
ICML 2020poster
Out-of-training-distribution (OOD) scenarios are a common challenge of learning agents at deployment, typically leading to arbitrary deductions and poorly-informed decisions. In principle, detection of and adaptation to OOD scenes can mitigate their adverse effects. In this paper, we highlight the l…