Structured World Belief for Reinforcement Learning in POMDP

Structured World Belief for Reinforcement Learning in POMDP

19 July 2021

Papers citing "Structured World Belief for Reinforcement Learning in POMDP"

10 / 10 papers shown

Title
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 44 5 0 22 Jul 2024
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation Wenyan Yang A. Angleraud R. Pieters J. Pajarinen Joni-Kristian Kämäräinen 24 6 0 05 Mar 2023
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 21 36 0 02 Nov 2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns Laurynas Karazija Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi OCL 98 20 0 21 Oct 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 33 114 0 27 May 2022
Dynamic programming with incomplete information to overcome navigational uncertainty in a nautical environment Chris Beeler Xinkai Li C. Bellinger Mark Crowley M. Fraser Isaac Tamblyn 27 1 0 29 Dec 2021
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 35 4 0 17 Dec 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 254 0 09 Dec 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 211 68 0 23 Oct 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning William Agnew Pedro M. Domingos OffRL 17 3 0 03 Mar 2020