Artyom Grishin

Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner

Recent progress in in-context reinforcement learning (ICRL) has demonstrated its potential for training generalist agents that can acquire new tasks directly at inference. Algorithm Distillation (AD) pioneered this paradigm and was subsequently scaled to multi-domain settings, although its ability t…