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Mastering Atari with Discrete World Models

Mastering Atari with Discrete World Models

5 October 2020
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
    DRL
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Papers citing "Mastering Atari with Discrete World Models"

15 / 165 papers shown
Title
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
19
15
0
05 Oct 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
57
26
0
29 Sep 2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons
  through Regularization
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
Justus F. Hübotter
Pablo Lanillos
Jakub M. Tomczak
11
3
0
22 Sep 2021
Benchmarking the Spectrum of Agent Capabilities
Benchmarking the Spectrum of Agent Capabilities
Danijar Hafner
ELM
11
126
0
14 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
P. S. Castro
Aaron Courville
Marc G. Bellemare
OffRL
36
630
0
30 Aug 2021
Reimagining an autonomous vehicle
Reimagining an autonomous vehicle
Jeffrey Hawke
E. Haibo
Vijay Badrinarayanan
Alex Kendall
24
11
0
12 Aug 2021
Human-Level Reinforcement Learning through Theory-Based Modeling,
  Exploration, and Planning
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Pedro Tsividis
J. Loula
Jake Burga
Nathan Foss
Andres Campero
Thomas Pouncy
S. Gershman
J. Tenenbaum
LM&Ro
18
43
0
27 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino
Adria Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrović
Charles Blundell
OffRL
30
36
0
12 Jul 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit
  Differentiation
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
Evgenii Nikishin
Romina Abachi
Rishabh Agarwal
Pierre-Luc Bacon
OffRL
36
34
0
06 Jun 2021
Learning First-Order Representations for Planning from Black-Box States:
  New Results
Learning First-Order Representations for Planning from Black-Box States: New Results
I. D. Rodriguez
Blai Bonet
J. Romero
Hector Geffner
NAI
17
21
0
23 May 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
25
2
0
07 Apr 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive
  Architectures for Developmental Robots
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
20
23
0
15 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
34
195
0
08 Mar 2021
Smaller World Models for Reinforcement Learning
Smaller World Models for Reinforcement Learning
Jan Robine
Tobias Uelwer
Stefan Harmeling
DRL
8
3
0
12 Oct 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents
On the Sensory Commutativity of Action Sequences for Embodied Agents
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
12
4
0
13 Feb 2020
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