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The top documents tagged [agents goal]
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Transfer in Variable - Reward Hierarchical Reinforcement Learning Hui Li March 31, 2006
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Rutgers CS440, Fall 2003 Lecture 6: Adversarial Search & Games Reading: Ch. 6, AIMA
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Making Decisions under Probabilistic Uncertainty (Where an agent optimizes what it gets on average, but it may get more... or less ) R&N: Chap. 17, Sect
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Network Design Games Éva Tardos Cornell University
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Belief Update, Belief Revision and Planning with the Fluent Calculus and FLUX
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E-Government is... Inevitable Transforming The right thing to do
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Optimization unconstrained and constrained Calculus part II
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Introduction What is Driverless Car ? History Component Action Technology Advantages Disadvantages Conclusion Reference
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Stephen Flockton. What is my Project? What is Planning? Advantages and Disadvantages of Planning. Description of the Product. Product Demonstration
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Chapter 3: The Reinforcement Learning Problem
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Decision Theory
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R. S. Sutton and A. G. Barto: Reinforcement Learning: An Introduction 1 Reinforcement Learning Slides from R.S. Sutton and A.G. Barto Reinforcement Learning:
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