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Planning from Pixels in Environments with Combinatorially Hard Search
  Spaces

Planning from Pixels in Environments with Combinatorially Hard Search Spaces

12 October 2021
Marco Bagatella
Miroslav Olsák
Michal Rolínek
Georg Martius
    OffRL
ArXivPDFHTML

Papers citing "Planning from Pixels in Environments with Combinatorially Hard Search Spaces"

5 / 5 papers shown
Title
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
64
834
0
05 Oct 2020
DeepMDP: Learning Continuous Latent Space Models for Representation
  Learning
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada
Saurabh Kumar
Jacob Buckman
Ofir Nachum
Marc G. Bellemare
BDL
47
283
0
06 Jun 2019
Provably efficient RL with Rich Observations via Latent State Decoding
Provably efficient RL with Rich Observations via Latent State Decoding
S. Du
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
Miroslav Dudík
John Langford
OffRL
29
230
0
25 Jan 2019
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
31
379
0
01 Mar 2018
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
54
2,992
0
19 Jul 2012
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