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20222026
most citedLight-weight probing of unsupervised representations for Reinforcement Learning

2 citations · 3 across the 8 of their papers we have counts for

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cs.LG2024

Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction

Anthony GX-Chen, Kenneth Marino, Rob Fergus

In the face of difficult exploration problems in reinforcement learning, we study whether giving an agent an object-centric mapping (describing a set of items and their attributes)…