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2010.02193
Cited By
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"
50 / 173 papers shown
Title
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
55
8
0
23 Oct 2022
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
32
22
0
22 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Andrei A. Rusu
Sebastian Flennerhag
Dushyant Rao
Razvan Pascanu
R. Hadsell
34
6
0
22 Oct 2022
Sample Efficient Robot Learning with Structured World Models
T. Akbulut
Max Merlin
Shane Parr
Benedict Quartey
Skye Thompson
21
0
0
21 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating
A. Jain
Shivakanth Sujit
S. Joshi
Vincent Michalski
Danijar Hafner
Samira Ebrahimi Kahou
27
8
0
21 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
Yanfei Xiang
Xin Wang
Shu Hu
Bin Zhu
Xiaomeng Huang
Xi Wu
Siwei Lyu
SSL
29
5
0
20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Z. Tu
OffRL
25
15
0
19 Oct 2022
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
23
21
0
18 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
P. Becker
Gerhard Neumann
22
9
0
17 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
35
26
0
10 Oct 2022
Experiential Explanations for Reinforcement Learning
Amal Alabdulkarim
Madhuri Singh
Gennie Mansi
Kaely Hall
Mark O. Riedl
Mark O. Riedl
OffRL
38
2
0
10 Oct 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning
Tankred Saanum
Eric Schulz
24
1
0
29 Sep 2022
T3VIP: Transformation-based 3D Video Prediction
Iman Nematollahi
Erick Rosete-Beas
Seyed Mahdi B. Azad
Raghunandan Rajan
Frank Hutter
Wolfram Burgard
VGen
55
1
0
19 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
28
81
0
19 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization
Nicholas A. Ketz
Praveen K. Pilly
OffRL
19
1
0
07 Sep 2022
Efficient Planning in a Compact Latent Action Space
Zhengyao Jiang
Tianjun Zhang
Michael Janner
Yueying Li
Tim Rocktaschel
Edward Grefenstette
Yuandong Tian
OffRL
16
36
0
22 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
21
6
0
08 Aug 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
12
0
05 Aug 2022
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases
Salar Arbabi
D. Tavernini
Saber Fallah
Richard Bowden
32
7
0
31 Jul 2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Adam R. Villaflor
Zheng Huang
Swapnil Pande
John M. Dolan
J. Schneider
OffRL
25
23
0
21 Jul 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya-Qin Zhang
Siheng Chen
36
9
0
11 Jul 2022
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
84
145
0
28 Jun 2022
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
47
277
0
28 Jun 2022
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
44
101
0
19 Jun 2022
Imitation Learning via Differentiable Physics
Siwei Chen
Xiao Ma
Zhongwen Xu
PINN
AI4CE
21
4
0
10 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
41
9
0
28 May 2022
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
43
18
0
23 May 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks
C. Capone
P. Paolucci
CLL
23
7
0
20 May 2022
Scaling-up Generalized Planning as Heuristic Search with Landmarks
Javier Segovia Aguas
Sergio Jiménez Celorrio
Anders Jonsson
L. Sebastiá
LRM
22
15
0
10 May 2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Julia Kiseleva
Ziming Li
Mohammad Aliannejadi
Shrestha Mohanty
Maartje ter Hoeve
...
I. Churin
Putra Manggala
Kata Naszádi
Michiel van der Meer
Taewoon Kim
LLMAG
31
30
0
05 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
24
6
0
20 Apr 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
Oier Mees
Lukás Hermann
Wolfram Burgard
LM&Ro
30
149
0
13 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
11
19
0
11 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
18
116
0
25 Mar 2022
NavDreams: Towards Camera-Only RL Navigation Among Humans
Daniel Dugas
Olov Andersson
Roland Siegwart
Jen Jen Chung
VGen
21
12
0
23 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose
Masashi Okada
Ryogo Okumura
T. Taniguchi
OffRL
13
10
0
15 Mar 2022
Towards Self-Supervised Learning of Global and Object-Centric Representations
Federico Baldassarre
Hossein Azizpour
SSL
3DPC
OCL
35
13
0
11 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
A. Chester
Michael Dann
Fabio Zambetta
John Thangarajah
11
0
0
09 Mar 2022
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINN
MU
36
220
0
09 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada
T. Taniguchi
3DV
OffRL
28
22
0
01 Mar 2022
TransDreamer: Reinforcement Learning with Transformer World Models
Changgu Chen
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
OffRL
32
90
0
19 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
Rohan R. Paleja
Yaru Niu
Andrew Silva
Chace Ritchie
Sugju Choi
Matthew C. Gombolay
19
16
0
04 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
137
95
0
28 Jan 2022
Bayesian sense of time in biological and artificial brains
Z. Fountas
Alexey Zakharov
32
0
0
14 Jan 2022
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain
Stefan Wapnick
Travis Manderson
D. Meger
Gregory Dudek
31
5
0
09 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning
Changmin Yu
Dong Li
Jianye Hao
Jun Wang
Neil Burgess
22
7
0
24 Nov 2021
Component Transfer Learning for Deep RL Based on Abstract Representations
Geoffrey van Driessel
Vincent François-Lavet
DRL
OffRL
28
6
0
22 Nov 2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Tim Seyde
Igor Gilitschenski
Wilko Schwarting
Bartolomeo Stellato
Martin Riedmiller
Markus Wulfmeier
Daniela Rus
19
44
0
03 Nov 2021
Mastering Atari Games with Limited Data
Weirui Ye
Shao-Wei Liu
Thanard Kurutach
Pieter Abbeel
Yang Gao
VLM
40
222
0
30 Oct 2021
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