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How the level sampling process impacts zero-shot generalisation in deep
  reinforcement learning

How the level sampling process impacts zero-shot generalisation in deep reinforcement learning

5 October 2023
Samuel Garcin
James Doran
Shangmin Guo
Christopher G. Lucas
Stefano V. Albrecht
ArXivPDFHTML

Papers citing "How the level sampling process impacts zero-shot generalisation in deep reinforcement learning"

4 / 4 papers shown
Title
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
35
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
94
0
06 Oct 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
267
107
0
13 Jul 2021
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