Decision Transformer as a Versatile Foundation Model for Controlling Partially Observable Nonlinear Dynamical Systems

Decision Transformer can effectively learn control policies for partially observable nonlinear dynamical systems, exhibiting remarkable zero-shot generalization and rapid adaptation to new tasks with minimal demonstrations.