Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts

11 March 2024

Papers citing "Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts"

9 / 9 papers shown

Title
MoE-Loco: Mixture of Experts for Multitask Locomotion Runhan Huang Shaoting Zhu Yilun Du Hang Zhao MoE 41 0 0 11 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 84 1 0 10 Mar 2025
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Moritz Reuss Jyothish Pari Pulkit Agrawal Rudolf Lioutikov DiffM MoE 74 5 0 17 Dec 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 89 2 0 12 Oct 2024
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping Ziye Huang Haoqi Yuan Yuhui Fu Zongqing Lu 25 3 0 03 Oct 2024
Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou Denis Blessing Ge Li Onur Celik Xiaogang Jia Gerhard Neumann Rudolf Lioutikov DiffM 30 3 0 18 Jun 2024
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy Maxence Faldor Félix Chalumeau Manon Flageat Antoine Cully 27 18 0 07 Mar 2023
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 43 31 0 06 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 116 94 0 06 Oct 2021