Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm

Author:

Yamagata TakuORCID,Santos-Rodríguez RaúlORCID,Piechocki Robert,Flach PeterORCID

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)

2. Hähnel, B.F.D., Fox, D.: Gaussian processes for signal strength-based location estimation. In: Proceeding of Robotics: Science and Systems (2006)

3. Kozlowski, M., Byrne, D., Santos-Rodriguez, R., Piechocki, R.: Data fusion for robust indoor localisation in digital health. In: IEEE WCNCW (2018)

4. Kozlowski, M., Santos-Rodriguez, R., Piechocki, R.J.: Sensor modalities and fusion for robust indoor localisation. EAI Endorsed Trans. Ambient Syst. 6(18), e5 (2019)

5. Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the Eighteenth International Conference on Machine Learning. ICML 2001, San Francisco, CA, USA, pp. 282–289. Morgan Kaufmann Publishers Inc. (2001)

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