Combining Reinforcement Learning and Causal Models for Robotics Applications

Méndez-Molina, Arquímides

doi:10.24963/ijcai.2021/684

Combining Reinforcement Learning and Causal Models for Robotics Applications

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4905-4906.

https://doi.org/10.24963/ijcai.2021/684

Keywords

Uncertainty in AI: Graphical Models
Robotics: Learning in Robotics
Machine Learning: Reinforcement Learning

Abstract

The relation between Reinforcement learning (RL) and Causal Modeling(CM) is an underexplored area with untapped potential for any learning task. In this extended abstract of our Ph.D. research proposal, we present a way to combine both areas to improve their respective learning processes, especially in the context of our application area (service robotics). The preliminary results obtained so far are a good starting point for thinking about the success of our research project.

Arquímides Méndez-Molina. 2021. Combining Reinforcement Learning and Causal Models for Robotics Applications. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4905–4906. https://doi.org/10.24963/ijcai.2021/684

@inproceedings{ijcai2021p684,
  title     = {Combining Reinforcement Learning and Causal Models for Robotics Applications},
  author    = {Méndez-Molina, Arquímides},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4905--4906},
  year      = {2021},
  month     = {8},
  note      = {Doctoral Consortium},
  doi       = {10.24963/ijcai.2021/684},
  url       = {https://doi.org/10.24963/ijcai.2021/684},
}

TY  - CPAPER
TI  - Combining Reinforcement Learning and Causal Models for Robotics Applications
AU  - Méndez-Molina, Arquímides
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4905
EP  - 4906
DO  - 10.24963/ijcai.2021/684
UR  - https://doi.org/10.24963/ijcai.2021/684
ER  -