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Conference Paper

Control What You Can: Intrinsically Motivated Task-Planning Agent

MPS-Authors
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Blaes,  Sebastian
Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Vlastelica Pogancic,  Marin
Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Zhu,  Jia-Jie
Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Martius,  Georg
Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Blaes, S., Vlastelica Pogancic, M., Zhu, J.-J., & Martius, G. (2020). Control What You Can: Intrinsically Motivated Task-Planning Agent. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (pp. 12520-12531). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/9418-control-what-you-can-intrinsically-motivated-task-planning-agent.


Cite as: http://hdl.handle.net/21.11116/0000-0006-FA3E-C
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