Jul 20, 2007 · We propose a novel algorithm, known as the active LZ algorithm, for optimal control based on ideas from the Lempel-Ziv scheme for universal data compression ...
We propose a novel algorithm, known as the active LZ al- gorithm, for optimal control based on ideas from the Lempel-Ziv scheme for universal data compression ...
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Jul 20, 2007 · Abstract—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, ...
Apr 23, 2019 · We propose a new control framework to simultaneously optimize the speed and fidelity of quantum computation against both leakage and stochastic control errors.
May 30, 2017 · We present a short and accessible survey of these URL algorithms under a unified notation and framework, along with results of some experiments ...
Jul 10, 2018 · Title: Universal Artificial Intelligence: Practical Agents and. Fundamental Challenges. Abstract: Foundational theories have contributed ...
Universal Reinforcement Learning · V. Farias, C. Moallemi, +1 author. T. Weissman · Published in IEEE Transactions on… 20 July 2007 · Computer Science.
[PDF] Universal Reinforcement Learning Algorithms: Survey and Experiments
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In this paper we have presented a short survey of state-of- the-art universal reinforcement learning algorithms, and de- veloped experiments that ...
Abstract: Transfer in Reinforcement Learning (RL) refers to the idea of applying knowledge gained from previous tasks to solving related tasks.
Towards a Universal Theory of Artificial Intelligence based on Algorithmic Probability and Sequential Decisions · Self-optimizing and Pareto-optimal policies in ...