A Monte-Carlo AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. Our approach is based on a direct approximation of AIXI, a Bayesian optimality notion for general reinforcement learning agents. Previously, it has been unclear whether the theory of AIXI could motivate the design of practical algorithms. We answer this hitherto open...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Artificial Intelligence Research|
|Veness et al A Monte Carlo AIXI Approximation 2011.pdf||682.41 kB||Adobe PDF|
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