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  • This paper shows that the speed of the reinforcement learning depends on the size of the payoffs, at least when all payoffs are positive. When the speed of learning is too fast, the agents tend to learn to play the actions which they randomly chosen in the first rounds of the learning process. The compositions of the agents’ strategies then on the aggregate level resembles the initial individual agent’s mixed strategy. This may create artificial effects in the simulations where the size of payoffs depend on the model treatments because the speed of learning cannot be tuned in.
  • This paper shows that the speed of the reinforcement learning depends on the size of the payoffs, at least when all payoffs are positive. When the speed of learning is too fast, the agents tend to learn to play the actions which they randomly chosen in the first rounds of the learning process. The compositions of the agents’ strategies then on the aggregate level resembles the initial individual agent’s mixed strategy. This may create artificial effects in the simulations where the size of payoffs depend on the model treatments because the speed of learning cannot be tuned in. (en)
Title
  • Payoff size variation problem in simple reinforcement learning algorithms
  • Payoff size variation problem in simple reinforcement learning algorithms (en)
skos:prefLabel
  • Payoff size variation problem in simple reinforcement learning algorithms
  • Payoff size variation problem in simple reinforcement learning algorithms (en)
skos:notation
  • RIV/00216224:14560/13:00074742!RIV15-MSM-14560___
http://linked.open...avai/riv/aktivita
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  • S
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  • 95586
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  • RIV/00216224:14560/13:00074742
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  • reinforcement learning; agent-based simulation; economic experiments; voluntary provision of public goods (en)
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http://linked.open...ontrolniKodProRIV
  • [DB103FA4AF00]
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  • Jihlava
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  • Jihlava
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  • Proceedings of the 31st International Conference Mathematical Methods in Economics 2013
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  • Kvasnička, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000335578000088
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number of pages
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  • College of Polytechnics Jihlava
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  • 9788087035764
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  • 14560
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