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Variational Inference for Data-Efficient Model Learning in POMDPs

Variational Inference for Data-Efficient Model Learning in POMDPs

23 May 2018
Sebastian Tschiatschek
Kai Arulkumaran
Jan Stühmer
Katja Hofmann
ArXivPDFHTML

Papers citing "Variational Inference for Data-Efficient Model Learning in POMDPs"

3 / 3 papers shown
Title
Flow-based Recurrent Belief State Learning for POMDPs
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
43
18
0
23 May 2022
Learning Causal State Representations of Partially Observable
  Environments
Learning Causal State Representations of Partially Observable Environments
Amy Zhang
Zachary Chase Lipton
Luis Villaseñor-Pineda
Kamyar Azizzadenesheli
Anima Anandkumar
Laurent Itti
Joelle Pineau
Tommaso Furlanello
CML
19
49
0
25 Jun 2019
Learning to Run challenge: Synthesizing physiologically accurate motion
  using deep reinforcement learning
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
13
60
0
31 Mar 2018
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