慌张
发表于 2025-3-30 12:17:53
Evolving Individual Behavior in a Multi-agent Traffic Simulators. Experimental results show that knowing the position of all the car drivers in the map leads the agents to obtain a better performance, thanks to the evolution of their behavior. Even the system as a whole gains some benefits from the evolution of the agents’ individual choices.
极小量
发表于 2025-3-30 14:26:42
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Condense
发表于 2025-3-30 16:50:01
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举止粗野的人
发表于 2025-3-30 22:07:08
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demote
发表于 2025-3-31 03:57:51
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insurgent
发表于 2025-3-31 07:03:17
Evolving Bot AI in UnrealTMeld very good results, evolving bots which are capable to beat the default ones. The best results are yielded for the GA approach, since it just does a refinement following the default behaviour rules, while the GP method has to redefine the whole set of rules, so it is harder to get good results.
MAPLE
发表于 2025-3-31 09:32:39
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Abrade
发表于 2025-3-31 13:58:22
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干旱
发表于 2025-3-31 19:23:48
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Canyon
发表于 2025-3-31 21:53:27
Brie Williams,Cyrus Ahalt,Louise Aronsonuristic is used to select guesses found by the evolutionary algorithms in an attempt to find solutions that are closer to those found by exhaustive search algorithms, but at the same time, possibly have better scaling properties when the size of the puzzle increases.