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Closing the Learning-Planning Loop with Predictive State Representations

Closing the Learning-Planning Loop with Predictive State Representations

12 December 2009
Byron Boots
S. Siddiqi
Geoffrey J. Gordon
ArXivPDFHTML

Papers citing "Closing the Learning-Planning Loop with Predictive State Representations"

4 / 4 papers shown
Title
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
Aidan Curtis
Hao Tang
Thiago Veloso
Kevin Ellis
Joshua B. Tenenbaum
Tomás Lozano-Pérez
Leslie Pack Kaelbling
313
0
0
04 May 2025
Predictive State Representations: A New Theory for Modeling Dynamical
  Systems
Predictive State Representations: A New Theory for Modeling Dynamical Systems
Satinder Singh
Michael R. James
Matthew R. Rudary
AI4TS
AI4CE
57
288
0
11 Jul 2012
Anytime Point-Based Approximations for Large POMDPs
Anytime Point-Based Approximations for Large POMDPs
Joelle Pineau
Geoffrey J. Gordon
Sebastian Thrun
85
418
0
30 Sep 2011
A Spectral Algorithm for Learning Hidden Markov Models
A Spectral Algorithm for Learning Hidden Markov Models
Daniel J. Hsu
Sham Kakade
Tong Zhang
141
309
0
26 Nov 2008
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