ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1602.04875
  4. Cited By
POMDP-lite for Robust Robot Planning under Uncertainty

POMDP-lite for Robust Robot Planning under Uncertainty

16 February 2016
Min Chen
Emilio Frazzoli
David Hsu
Wee Sun Lee
ArXivPDFHTML

Papers citing "POMDP-lite for Robust Robot Planning under Uncertainty"

10 / 10 papers shown
Title
A Finite-State Controller Based Offline Solver for Deterministic POMDPs
A Finite-State Controller Based Offline Solver for Deterministic POMDPs
Alex Schutz
Yang You
Matias Mattamala
Ipek Caliskanelli
Bruno Lacerda
Nick Hawes
OffRL
39
0
0
01 May 2025
Adaptive Information Gathering via Imitation Learning
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
46
22
0
22 May 2017
DESPOT: Online POMDP Planning with Regularization
DESPOT: Online POMDP Planning with Regularization
N. Ye
A. Somani
David Hsu
Wee Sun Lee
59
507
0
12 Sep 2016
Efficient Model Learning for Human-Robot Collaborative Tasks
Efficient Model Learning for Human-Robot Collaborative Tasks
Stefanos Nikolaidis
Keren Gu
Ramya Ramakrishnan
J. Shah
33
221
0
24 May 2014
Online Planning Algorithms for POMDPs
Online Planning Algorithms for POMDPs
Stéphane Ross
Joelle Pineau
Sébastien Paquet
B. Chaib-draa
44
584
0
15 Jan 2014
Hidden Parameter Markov Decision Processes: A Semiparametric Regression
  Approach for Discovering Latent Task Parametrizations
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations
Finale Doshi-Velez
George Konidaris
117
129
0
15 Aug 2013
Point-Based POMDP Algorithms: Improved Analysis and Implementation
Point-Based POMDP Algorithms: Improved Analysis and Implementation
Trey Smith
R. Simmons
54
423
0
04 Jul 2012
Incremental Model-based Learners With Formal Learning-Time Guarantees
Incremental Model-based Learners With Formal Learning-Time Guarantees
Alexander L. Strehl
Lihong Li
Michael L. Littman
54
61
0
27 Jun 2012
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
J. Asmuth
Lihong Li
Michael L. Littman
A. Nouri
David Wingate
BDL
55
189
0
09 May 2012
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
Jonathan Sorg
Satinder Singh
Richard L. Lewis
OffRL
55
69
0
15 Mar 2012
1