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"item_title" : "Sample Efficient Multiagent Learning in the Presence of Markovian Agents",
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"item_description" : "Introduction.- Background.- Learn or Exploit in Adversary Induced Markov Decision Processes.- Convergence, Targeted Optimality and Safety in Multiagent Learning.- Maximizing.- Targeted Modeling of Markovian agents.- Structure Learning in Factored MDPs.- Related Work.- Conclusion and Future Work.",
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Sample Efficient Multiagent Learning in the Presence of Markovian Agents
Overview
Introduction.- Background.- Learn or Exploit in Adversary Induced Markov Decision Processes.- Convergence, Targeted Optimality and Safety in Multiagent Learning.- Maximizing.- Targeted Modeling of Markovian agents.- Structure Learning in Factored MDPs.- Related Work.- Conclusion and Future Work.
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Details
- ISBN-13: 9783319026053
- ISBN-10: 3319026054
- Publisher: Springer
- Publish Date: October 2013
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.91 pounds
- Page Count: 147
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