34 citations · 77 across the 13 of their papers we have counts for
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cs.AI2022
Beyond Bayes-optimality: meta-learning what you know you don't know
Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch +11
Meta-training agents with memory has been shown to culminate in Bayes-optimal agents, which casts Bayes-optimality as the implicit solution to a numerical optimization problem rath…
cs.AI2021
Reinforcement Learning with Information-Theoretic Actuation
Elliot Catt, Marcus Hutter, Joel Veness
Reinforcement Learning formalises an embodied agent's interaction with the environment through observations, rewards and actions. But where do the actions come from? Actions are of…