AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies
Achieve-Grounded Memory is proposed, a lightweight closed-loop framework for frozen VLA policies that represents a task as a subgoal sequence with a progress pointer and advances this memory only after the current subgoal is verified by physical evidence.
Hong-Bo Gao, Ze-Yu Ni, Xin Wen et al.
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