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Jean-Baptiste Regli

2 accepted papers

2022

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation

ICLR 2022poster

Complex sequential tasks in continuous-control settings often require agents to successfully traverse a set of ``narrow passages'' in their state space. Solving such tasks with a sparse reward in a sample-efficient manner poses a challenge to modern reinforcement learning (RL) due to the associated…

Cited by 19SourcePDFScholar
2020

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency

CoRL 2020

A robot’s ability to act is fundamentally constrained by what it can perceive. Many existing approaches to visual representation learning utilize general-purpose training criteria, e.g. image reconstruction, smoothness in latent space, or usefulness for control, or else make use of large datasets an

Cited by 0SourcePDFScholar