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Sparsely Changing Latent States for Prediction and Planning in Partially
  Observable Domains

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

29 October 2021
Christian Gumbsch
Martin Volker Butz
Georg Martius
    AI4CE
ArXivPDFHTML

Papers citing "Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains"

12 / 12 papers shown
Title
A Review of Mechanistic Models of Event Comprehension
A Review of Mechanistic Models of Event Comprehension
Tan T. Nguyen
29
0
0
17 Sep 2024
Exploring the limits of Hierarchical World Models in Reinforcement
  Learning
Exploring the limits of Hierarchical World Models in Reinforcement Learning
Robin Schiewer
Anand Subramoney
Laurenz Wiskott
31
1
0
01 Jun 2024
Loci-Segmented: Improving Scene Segmentation Learning
Loci-Segmented: Improving Scene Segmentation Learning
Manuel Traub
Frederic Becker
Adrian Sauter
S. Otte
Martin Volker Butz
26
2
0
16 Oct 2023
Learning Object Permanence from Videos via Latent Imaginations
Learning Object Permanence from Videos via Latent Imaginations
Manuel Traub
Frederic Becker
S. Otte
Martin Volker Butz
30
1
0
16 Oct 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning
  Environments for Goal-Oriented Tasks
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Maxime Chevalier-Boisvert
Bolun Dai
Mark Towers
Rodrigo de Lazcano
Lucas Willems
Salem Lahlou
Suman Pal
P. S. Castro
Jordan Terry
VGen
13
180
0
24 Jun 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
OCL
23
38
0
07 Jun 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
40
5
0
06 Apr 2023
World Models and Predictive Coding for Cognitive and Developmental
  Robotics: Frontiers and Challenges
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
T. Taniguchi
Shingo Murata
Masahiro Suzuki
D. Ognibene
Pablo Lanillos
...
L. Jamone
Tomoaki Nakamura
Alejandra Ciria
B. Lara
G. Pezzulo
27
52
0
14 Jan 2023
Developing hierarchical anticipations via neural network-based event
  segmentation
Developing hierarchical anticipations via neural network-based event segmentation
Christian Gumbsch
M. Adam
B. Elsner
Georg Martius
Martin Volker Butz
21
5
0
04 Jun 2022
Learning What and Where: Disentangling Location and Identity Tracking
  Without Supervision
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
34
20
0
26 May 2022
Inference of Affordances and Active Motor Control in Simulated Agents
Inference of Affordances and Active Motor Control in Simulated Agents
Fedor Scholz
Christian Gumbsch
S. Otte
Martin Volker Butz
AI4CE
29
5
0
23 Feb 2022
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
49
307
0
25 Dec 2020
1