Month: April 2023

RL meets hyperbolic geometry Many problems in Reinforcement Learning manifest a hierarchical tree-like nature. Hyperbolic spaces, which can be conceptualised as continuous analogies of trees, are thus suitable candidates to parameterise the agent’s deep model. In this post, we overview the basics of hyperbolic geometry, show empirically that it provides a good inductive bias for…