A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents

1 November 2023

Papers citing "A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents"

6 / 6 papers shown

Title
NeRFlex: Resource-aware Real-time High-quality Rendering of Complex Scenes on Mobile Devices Zhe Wang Yifei Zhu 21 0 0 04 Apr 2025
Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes Emilio Cartoni Gianluca Cioccolini Gianluca Baldassarre 39 0 0 16 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
Synthesizing Evolving Symbolic Representations for Autonomous Systems Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 16 0 0 18 Sep 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 32 18 0 06 Jun 2024
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 22 28 0 10 Feb 2022