No Regrets: Investigating and Improving Regret Approximations for
Curriculum Discovery

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No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery

27 August 2024

Alexander Rutherford

Michael Beukman

Nick Hawes

Jakob Foerster

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

6 / 6 papers shown

Title
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork Caroline Wang Arrasy Rahman Jiaxun Cui Yoonchang Sung Peter Stone 55 0 0 29 May 2025
An Optimisation Framework for Unsupervised Environment Design Nathan Monette Alistair Letcher Michael Beukman Matthew Jackson Alexander Rutherford Alexander David Goldie Jakob N. Foerster 62 0 0 27 May 2025
Automatic Curriculum Design for Zero-Shot Human-AI Coordination Won-Sang You Tae-Gwan Ha Seo-Young Lee Kyung-Joong Kim 157 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 117 8 0 30 Oct 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 116 4 0 25 Jun 2024
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How OffRL 131 176 0 24 Oct 2019