Vintix: Action Model via In-Context Reinforcement Learning

Andrey Polubarov, Nikita Lyubaykin, Alexander Derevyagin +4

In-Context Reinforcement Learning (ICRL) represents a promising paradigm for developing generalist agents that learn at inference time through trial-and-error interactions, analogo…