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most citedLearn what matters: cross-domain imitation learning with task-relevant embeddings

2 citations · 4 across the 11 of their papers we have counts for

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cs.AI2022★ 2 cited

Learn what matters: cross-domain imitation learning with task-relevant embeddings

Tim Franzmeyer, Philip H. S. Torr, João F. Henriques

We study how an autonomous agent learns to perform a task from demonstrations in a different domain, such as a different environment or different agent. Such cross-domain imitation…

cs.AI2022

Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks

Tim Franzmeyer, Stephen McAleer, João F. Henriques +4

Autonomous agents deployed in the real world need to be robust against adversarial attacks on sensory inputs. Robustifying agent policies requires anticipating the strongest attack…