English(EN) AGiR: Mitigating Gift Over-Reliance in Mixed-Motive Games

新的AGiR框架解决了混合动机博弈中代理的过度依赖问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员开发了一个名为AGiR的新框架，以解决混合动机博弈中的礼物过度依赖问题，在这种博弈中，代理必须在合作与竞争之间取得平衡。当代理过度依赖收到的“礼物”而未能学会独立的产生奖励的行为时，就会出现这个问题。AGiR引入了一种自适应拒绝机制，允许代理选择性地拒绝一部分收到的礼物，从而减轻过度依赖并防止被剥削。该框架设计为与现有的礼物赠送方法即插即用，并在各种环境中持续提高了 $\alpha$-公平性，而无需对训练流程进行重大更改。 AI

影响这项研究可能有助于在需要合作与竞争的场景中构建更强大、更不易被剥削的AI代理。

排序理由该集群包含一篇详细介绍多代理系统新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Woohyeon Byeon, Seongmin Kim, Jiwon Jeon, Woojun Kim, Youngchul Sung · 2026-11-11 05:00

AGiR：缓解混合动机博弈中过度依赖礼物的问题

arXiv:2611.02875v2 Announce Type: replace-cross Abstract: In this paper, we consider mixed-motive games (MMGs) which model various real-world multi-agent scenarios where self-interested agents must both cooperate and compete. We identify an issue with existing gifting methods, wh…

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AGiR：缓解混合动机博弈中过度依赖礼物的问题

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