Language Model Augmented Decision Transformer for Multi-Task Offline Reinforcement Learning
arXiv:2611.04031v1 Announce Type: new Abstract: Offline multi-task reinforcement learning (MTRL) aims to learn a unified policy from heterogeneous offline datasets that generalizes across tasks. However, existing offline MTRL methods often struggle with two fundamental issues: severe per-task data…
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- 2026-11-04 05:00 · arXiv cs.CL
Language Model Augmented Decision Transformer for Multi-Task Offline Reinforcement Learning