7.8k citations · 9.1k across the 24 of their papers we have counts for
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Joel Veness, Kee Siong Ng, Marcus Hutter +1
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian…