10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.AI2020★ 10 cited
Algorithms for Causal Reasoning in Probability Trees
Tim Genewein, Tom McGrath, Grégoire Déletang +4
Probability trees are one of the simplest models of causal generative processes. They possess clean semantics and -- unlike causal Bayesian networks -- they can represent context-s…
cs.AI2020
Meta-trained agents implement Bayes-optimal agents
Vladimir Mikulik, Grégoire Delétang, Tom McGrath +4
Memory-based meta-learning is a powerful technique to build agents that adapt fast to any task within a target distribution. A previous theoretical study has argued that this remar…