A hierarchical active inference agent with a whole-body controller achieves 66.5% average success on Habitat's three long-horizon rearrangement tasks, beating the compared RL baselines (54.7%).
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition
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Mobile Manipulation with Active Inference for Long-Horizon Rearrangement Tasks
A hierarchical active inference agent with a whole-body controller achieves 66.5% average success on Habitat's three long-horizon rearrangement tasks, beating the compared RL baselines (54.7%).