arXiv:2606.03017v1 Announce Type: cross Abstract: Reward transfer in Inverse Reinforcement Learning (IRL) is unreliable when policies must generalize to unseen combinations of environment dynamics and task goals. We propose Factorized Contrastive Abstractions for Transferable IRL (ConTraIRL), a framework that enables compositional reward transfer...
Read the full article at the source.
![[Ekstra] Over én million lærere er flyttet over på en åpen kildekode-plattform](https://images.gfx.no/1000/2928/2928382/Skjermbilde%202026-06-17%20kl.%2010.49.41.png)
Comments (0)
No comments yet. Be the first to comment!