DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs

© 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved. A major difficulty of solving continuous POMDPs is to infer the multi-modal distribution of the unobserved true states and to make the planning algorithm dependent on the perceived uncertainty. We cast POMDP filtering and planni...

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Bibliographic Details
Main Authors: Wang, Yunbo, Liu, Bo, Wu, Jiajun, Zhu, Yuke, Du, Simon S, Fei-Fei, Li, Tenenbaum, Joshua B
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:English
Published: International Joint Conferences on Artificial Intelligence Organization 2021
Online Access:https://hdl.handle.net/1721.1/138359

Internet

https://hdl.handle.net/1721.1/138359

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