Pedro Morais — accepted AI-conference papers

2023

Why Is the Winner the Best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim J. Adler +119

CVPR 2023poster

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and…

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2019

Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real

Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonanthan Hurst, Michiel Panne

CoRL 2019

Deep reinforcement learning (DRL) is a promising approach for developing legged locomotion skills. However, current work commonly describes DRL as being a one-shot process, where the state, action and reward are assumed to be well defined and are directly used by an RL algorithm to obtain policies.

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