No Regrets: Investigating and Improving Regret Approximations for
Curriculum Discovery

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery

27 August 2024

Alexander Rutherford

Michael Beukman

Nick Hawes

Jakob Foerster

Papers citing "No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery"

6 / 6 papers shown

Title
Automatic Curriculum Design for Zero-Shot Human-AI Coordination Won-Sang You Tae-Gwan Ha Seo-Young Lee Kyung-Joong Kim 49 0 0 10 Mar 2025
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 46 3 0 25 Jun 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 35 7 0 05 Feb 2024
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways J. Park Xuesu Xiao Garrett A. Warnell Harel Yedidsion Peter Stone 36 13 0 27 Sep 2022
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 132 455 0 10 Mar 2020