8 citations · 16 across the 3 of their papers we have counts for
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cs.RO2023★ 8 cited
Latent Exploration for Reinforcement Learning
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang +1
In Reinforcement Learning, agents learn policies by exploring and interacting with the environment. Due to the curse of dimensionality, learning policies that map high-dimensional…
cs.RO2022★ 8 cited
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
Biological and artificial agents need to deal with constant changes in the real world. We study this problem in four classical continuous control environments, augmented with morph…