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Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of
  Factored-POMDPs

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs

12 November 2024
Chao Han
Debabrota Basu
M. Mangan
Eleni Vasilaki
Aditya Gilra
ArXiv (abs)PDFHTML

Papers citing "Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs"

12 / 12 papers shown
Title
Causal Dynamics Learning for Task-Independent State Abstraction
Causal Dynamics Learning for Task-Independent State Abstraction
Zizhao Wang
Xuesu Xiao
Zifan Xu
Yuke Zhu
Peter Stone
CML
78
58
0
27 Jun 2022
Systematic Evaluation of Causal Discovery in Visual Model Based
  Reinforcement Learning
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke
Aniket Didolkar
Sarthak Mittal
Anirudh Goyal
Guillaume Lajoie
Stefan Bauer
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
C. Pal
CML
82
57
0
02 Jul 2021
Approximate information state for approximate planning and reinforcement
  learning in partially observed systems
Approximate information state for approximate planning and reinforcement learning in partially observed systems
Jayakumar Subramanian
Amit Sinha
Raihan Seraj
Aditya Mahajan
140
86
0
17 Oct 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
94
219
0
28 Aug 2020
Learning Invariant Representations for Reinforcement Learning without
  Reconstruction
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OODSSL
114
478
0
18 Jun 2020
A Sufficient Statistic for Influence in Structured Multiagent
  Environments
A Sufficient Statistic for Influence in Structured Multiagent Environments
F. Oliehoek
Stefan J. Witwicki
L. Kaelbling
63
23
0
22 Jul 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
71
364
0
03 Jul 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
95
2,362
0
06 Jun 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
114
138
0
15 Nov 2018
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
349
5,379
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
198
2,537
0
02 Nov 2016
Dyna-Style Planning with Linear Function Approximation and Prioritized
  Sweeping
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
R. Sutton
Csaba Szepesvári
A. Geramifard
Michael Bowling
OffRL
86
203
0
13 Jun 2012
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