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Reinforcement Learning for Average Reward Zero-Sum Games
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ATAL
2006
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Intelligent Agents
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Efficient agents for cliff-edge environments with a large set of decision options
13 years 10 months ago
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This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
Ron Katz, Sarit Kraus
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