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Jan, 2025
Vintix:通过上下文强化学习的动作模型
Vintix: Action Model via In-Context Reinforcement Learning
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Andrey Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov...
TL;DR
本研究解决了上下文强化学习(ICRL)在规模化应用中的挑战,尤其是在多领域设置下的学习能力。提出了一种固定的跨领域模型,通过ICRL学习行为,并引入了算法蒸馏框架,为构建多功能动作模型提供了有力的替代方案。研究结果显示,ICRL有潜力成为通用决策系统的可扩展方法。
Abstract
In-Context Reinforcement Learning
(ICRL) represents a promising paradigm for developing
Generalist Agents
that learn at inference time through trial-and-error interactions, analogous to how large language models
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