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Augmented World Models Facilitate Zero-Shot Dynamics Generalization From
  a Single Offline Environment

Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment

12 April 2021
Philip J. Ball
Cong Lu
Jack Parker-Holder
Stephen J. Roberts
    OffRL
ArXivPDFHTML

Papers citing "Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment"

14 / 14 papers shown
Title
GTA: Generative Trajectory Augmentation with Guidance for Offline
  Reinforcement Learning
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
Jaewoo Lee
Sujin Yun
Taeyoung Yun
Jinkyoo Park
46
6
0
27 May 2024
Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
40
1
0
12 May 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
Anya Sims
Cong Lu
Yee Whye Teh
OffRL
35
3
0
19 Feb 2024
On Pathologies in KL-Regularized Reinforcement Learning from Expert
  Demonstrations
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Tim G. J. Rudner
Cong Lu
Michael A. Osborne
Yarin Gal
Yee Whye Teh
OffRL
27
27
0
28 Dec 2022
Learning General World Models in a Handful of Reward-Free Deployments
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
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns
  for Cross-Domain Adaptation
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
27
3
0
24 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
24
9
0
18 Sep 2022
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement
  Learning
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu
Hongyin Zhang
Donglin Wang
OffRL
35
32
0
13 Mar 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
117
0
02 Mar 2022
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Zac Wellmer
James T. Kwok
SyDa
24
9
0
17 Sep 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial
  Data Augmentation
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
Hanping Zhang
Yuhong Guo
22
23
0
29 Jun 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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