The Role of Pretrained Representations for the OOD Generalization of
Reinforcement Learning Agents

The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents

12 July 2021

Frederik Trauble

Peter V. Gehler

Francesco Locatello

Olivier Bachem

Bernhard Schölkopf

Stefan Bauer

Papers citing "The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents"

4 / 4 papers shown

Title
Boxhead: A Dataset for Learning Hierarchical Representations Yukun Chen Andrea Dittadi Frederik Trauble Stefan Bauer Bernhard Schölkopf CML 91 2 0 07 Oct 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 280 339 0 14 Sep 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 175 313 0 07 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 156 1,630 0 02 Feb 2020