DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design

5 February 2024

Papers citing "DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design"

5 / 5 papers shown

Title
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe P. S. Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 46 0 0 08 Mar 2025
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 38 13 0 11 Jul 2022
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 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 Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 267 107 0 13 Jul 2021