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Hierarchical POMDP Controller Optimization by Likelihood Maximization

Hierarchical POMDP Controller Optimization by Likelihood Maximization

Conference on Uncertainty in Artificial Intelligence (UAI), 2008
13 June 2012
Marc Toussaint
Laurent Charlin
Pascal Poupart
ArXiv (abs)PDFHTML

Papers citing "Hierarchical POMDP Controller Optimization by Likelihood Maximization"

11 / 11 papers shown
On Solving a Stochastic Shortest-Path Markov Decision Process as
  Probabilistic Inference
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference
Mohamed Baioumy
Bruno Lacerda
Paul Duckworth
Nick Hawes
203
3
0
13 Sep 2021
How memory architecture affects learning in a simple POMDP: the
  two-hypothesis testing problem
How memory architecture affects learning in a simple POMDP: the two-hypothesis testing problem
Mario Geiger
C. Eloy
Matthieu Wyart
155
0
0
16 Jun 2021
Forward and Backward Bellman equations improve the efficiency of EM
  algorithm for DEC-POMDP
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDPEntropy (Entropy), 2021
Takehiro Tottori
Tetsuya J. Kobayashi
241
4
0
19 Mar 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed
  Environments
Program Synthesis Guided Reinforcement Learning for Partially Observed EnvironmentsNeural Information Processing Systems (NeurIPS), 2021
Yichen Yang
J. Inala
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
Martin Rinard
400
12
0
22 Feb 2021
Active Inference or Control as Inference? A Unifying View
Active Inference or Control as Inference? A Unifying ViewInternational Workshop on Affective Interactions (AI), 2020
Joe Watson
Abraham Imohiosen
Jan Peters
AI4CE
242
19
0
01 Oct 2020
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning
  Under Uncertainty
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under UncertaintyIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Ajinkya Jain
S. Niekum
381
20
0
21 Jul 2019
Efficient Hierarchical Robot Motion Planning Under Uncertainty and
  Hybrid Dynamics
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
Ajinkya Jain
S. Niekum
363
22
0
12 Feb 2018
Learning Deep Neural Network Policies with Continuous Memory States
Learning Deep Neural Network Policies with Continuous Memory States
Marvin Zhang
Zoe McCarthy
Chelsea Finn
Sergey Levine
Pieter Abbeel
344
19
0
05 Jul 2015
Objective Variables for Probabilistic Revenue Maximization in
  Second-Price Auctions with Reserve
Objective Variables for Probabilistic Revenue Maximization in Second-Price Auctions with Reserve
Maja R. Rudolph
Joseph G. Ellis
David M. Blei
165
20
0
24 Jun 2015
New inference strategies for solving Markov Decision Processes using
  reversible jump MCMC
New inference strategies for solving Markov Decision Processes using reversible jump MCMCConference on Uncertainty in Artificial Intelligence (UAI), 2009
Matt Hoffman
H. Kück
Nando de Freitas
Arnaud Doucet
202
36
0
09 May 2012
Anytime Planning for Decentralized POMDPs using Expectation Maximization
Anytime Planning for Decentralized POMDPs using Expectation MaximizationConference on Uncertainty in Artificial Intelligence (UAI), 2010
Akshat Kumar
S. Zilberstein
320
42
0
15 Mar 2012
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