dragon
发表于 2025-3-27 00:13:37
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可行
发表于 2025-3-27 04:11:02
Metaphorical Structuring of Pattern Analysisuristic control and policy search via adaptive function approximation in order to build an efficient, near-real time, bidding mechanism. Results indicate that a suitable reinforcement learning setup coupled with the power of adaptive function approximation techniques is a good candidate for enabling high performance strategies.
作呕
发表于 2025-3-27 07:36:28
https://doi.org/10.1007/978-94-6300-603-3onstruct a new type of adaptive agent, based on single-step marginal-value optimization, and show that it outperforms humans across these varying agent societies when playing the Social Ultimatum Game.
妈妈不开心
发表于 2025-3-27 11:34:48
Social Networking and Information Diffusion in Automated Markets,ations give rise to a sequence of experimental tests, the documented results of which provide an answer to the question phrased above. Analysis of the results shows the benefits of taking advice as a collective and demonstrates the properties of the communities which emerge as a result of engaging in widespread social contact.
欢乐东方
发表于 2025-3-27 15:47:34
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entail
发表于 2025-3-27 17:48:09
Agent Adaptation across Non-ideal Markets and Societies,onstruct a new type of adaptive agent, based on single-step marginal-value optimization, and show that it outperforms humans across these varying agent societies when playing the Social Ultimatum Game.
弄污
发表于 2025-3-28 01:22:43
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Accessible
发表于 2025-3-28 05:47:03
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beta-cells
发表于 2025-3-28 09:55:31
Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic MarkeAMEC and TADA 2012,
Flounder
发表于 2025-3-28 12:41:05
Designing Robust Strategies for Continuous Trading in Contemporary Power Markets,on policy, a policy for forecasting energy consumption that employs Time Series Analysis primitives, and two shout update policies, a rule-based policy that acts rather hastily, and one based on Fuzzy Logic. The results are quite encouraging and will certainly call for future research.