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Reward-Free Curricula for Training Robust World Models

Reward-Free Curricula for Training Robust World Models

15 June 2023
Marc Rigter
Minqi Jiang
Ingmar Posner
    VLM
    OffRL
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Papers citing "Reward-Free Curricula for Training Robust World Models"

10 / 10 papers shown
Title
Environment Descriptions for Usability and Generalisation in
  Reinforcement Learning
Environment Descriptions for Usability and Generalisation in Reinforcement Learning
Dennis J. N. J. Soemers
Spyridon Samothrakis
Kurt Driessens
M. Winands
OffRL
80
1
0
22 Dec 2024
No Regrets: Investigating and Improving Regret Approximations for
  Curriculum Discovery
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
Alexander Rutherford
Michael Beukman
Timon Willi
Bruno Lacerda
Nick Hawes
Jakob Foerster
46
5
0
27 Aug 2024
The Essential Role of Causality in Foundation World Models for Embodied
  AI
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
28
15
0
06 Feb 2024
World Models via Policy-Guided Trajectory Diffusion
World Models via Policy-Guided Trajectory Diffusion
Marc Rigter
Jun Yamada
Ingmar Posner
21
19
0
13 Dec 2023
TWIST: Teacher-Student World Model Distillation for Efficient
  Sim-to-Real Transfer
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
Jun Yamada
Marc Rigter
Jack Collins
Ingmar Posner
26
5
0
07 Nov 2023
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
53
8
0
23 Oct 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Andrei Lupu
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
41
13
0
11 Jul 2022
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
116
95
0
06 Oct 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
457
0
10 Mar 2020
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
216
809
0
13 Nov 2016
1