Header logo is al

al Georg Martius
Georg Martius (Project leader)
Max Planck Research Group Leader
al Sebastian Blaes
Sebastian Blaes
Ph.D. Student
ei Jia-Jie Zhu
Jia-Jie Zhu
Postdoctoral Researcher
1 result

2019


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Control What You Can: Intrinsically Motivated Task-Planning Agent

Blaes, S., Vlastelica, M., Zhu, J., Martius, G.

In Advances in Neural Information Processing (NeurIPS’19), pages: 12520-12531, Curran Associates, Inc., NeurIPS'19, 2019 (inproceedings)

Abstract
We present a novel intrinsically motivated agent that learns how to control the environment in the fastest possible manner by optimizing learning progress. It learns what can be controlled, how to allocate time and attention, and the relations between objects using surprise based motivation. The effectiveness of our method is demonstrated in a synthetic as well as a robotic manipulation environment yielding considerably improved performance and smaller sample complexity. In a nutshell, our work combines several task-level planning agent structures (backtracking search on task graph, probabilistic road-maps, allocation of search efforts) with intrinsic motivation to achieve learning from scratch.

link (url) Project Page [BibTex]

2019

link (url) Project Page [BibTex]