266 citations · 1k across the 38 of their papers we have counts for
4 papers · 1 filter
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…
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…
Action and Perception as Divergence Minimization
Danijar Hafner, Pedro A. Ortega, Jimmy Ba +3
To learn directed behaviors in complex environments, intelligent agents need to optimize objective functions. Various objectives are known for designing artificial agents, includin…
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Julien Perolat, Remi Munos, Jean-Baptiste Lespiau +10
In this paper we investigate the Follow the Regularized Leader dynamics in sequential imperfect information games (IIG). We generalize existing results of Poincaré recurrence from…