2 citations · 4 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
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…
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Can artificial agents learn to assist others in achieving their goals without knowing what those goals are? Generic reinforcement learning agents could be trained to behave altruis…