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Multi-agent reinforcement learning with approximate model learning for competitive games

Research article (PLoS ONE, 2019) · cited 25× · AI/ML
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Summary

Multi-agent reinforcement learning with approximate model learning for competitive games is a scholarly article[1].

Key Facts

  • Multi-agent reinforcement learning with approximate model learning for competitive games's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multi-agent reinforcement learning with approximate model learning for competitive games. Retrieved October 18, 2026, from https://4ort.xyz/entity/multi-agent-reinforcement-learning-with-approximate-model-learning-for-competitive-games
MLA “Multi-agent reinforcement learning with approximate model learning for competitive games.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/multi-agent-reinforcement-learning-with-approximate-model-learning-for-competitive-games.
BibTeX @misc{4ortxyz_multi-agent-reinforcement-learning-with-approximate-model-learning-for-competitive-games_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-agent reinforcement learning with approximate model learning for competitive games}}, year = {2026}, url = {https://4ort.xyz/entity/multi-agent-reinforcement-learning-with-approximate-model-learning-for-competitive-games}, note = {Accessed: 2026-10-18}}
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