Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning

29 March 2022

Papers citing "Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning"

7 / 7 papers shown

Title
In the Blink of an Eye: Instant Game Map Editing using a Generative-AI Smart Brush Vitaly Gnatyuk Valeriia Koriukina Ilya Levoshevich Pavel Nurminskiy Guenter Wallner 42 0 0 25 Mar 2025
Whole-Body Dynamic Throwing with Legged Manipulators Humphrey Munn Brendan Tidd Peter Böhm M. Gallagher David Howard 39 1 0 08 Oct 2024
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 115 545 0 24 Sep 2021
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 112 105 0 09 May 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020
Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions Alberto Alvarez S. Dahlskog J. Font Julian Togelius 67 31 0 06 Mar 2020
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 134 928 0 07 Jul 2017