Mastodawn

Microsoft Research (@MSFTResearch)

Predictive Inverse Dynamics Models(PIDMs)이 모방학습(imitation learning)에서 표준 행동 복제(Behavior Cloning)보다 성능이 높은 이유를 분석한 연구 소개입니다. 다음 상태를 예측해 모호성을 줄이고 훨씬 적은 시연으로 학습할 수 있음을 보여줍니다. (원문 링크 제공)

https://x.com/MSFTResearch/status/2019456069362196977

#imitationlearning #pidm #behaviorcloning #research

Microsoft Research (@MSFTResearch) on X

This research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations. Learn more: https://t.co/VTAklmQpcM

X (formerly Twitter)

GeekProjects News Sep 2, 2023

Teaching a Mini-Tesla to Steer Itself https://hackaday.com/2023/09/02/teaching-a-mini-tesla-to-steer-itself/ #convolutionalneuralnetwork #TransportationHacks #MachineLearning #behaviorcloning #machinelearning #steeringangle #self-driving #autonomous #servo #tesla

Teaching A Mini-Tesla To Steer Itself

At the risk of stating the obvious, even when you’ve got unlimited resources and access to the best engineering minds, self-driving cars are hard. Building a multi-ton guided missile that can…

Hackaday