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Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

19 November 2023
Ahmed Hendawy
Jan Peters
Carlo DÉramo
    MoE
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Papers citing "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts"

13 / 13 papers shown
Title
Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
Zhiqiang He
Zhi Liu
44
0
0
14 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
141
2
0
10 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
LRM
44
1
0
07 Mar 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge
Michael Lanier
Anindya Sarkar
Bengisu Guresti
Yevgeniy Vorobeychik
Chongjie Zhang
44
0
0
26 Feb 2025
Active Fine-Tuning of Generalist Policies
Active Fine-Tuning of Generalist Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
37
0
0
07 Oct 2024
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
Nico Bohlinger
Grzegorz Czechmanowski
Maciej Krupka
Piotr Kicki
Krzysztof Walas
Jan Peters
Davide Tateo
50
14
0
10 Sep 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Model-Based Transfer Learning for Contextual Reinforcement Learning
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
50
0
0
08 Aug 2024
Mixture of Experts in a Mixture of RL settings
Mixture of Experts in a Mixture of RL settings
Timon Willi
J. Obando-Ceron
Jakob Foerster
Karolina Dziugaite
Pablo Samuel Castro
MoE
46
7
0
26 Jun 2024
Variational Distillation of Diffusion Policies into Mixture of Experts
Variational Distillation of Diffusion Policies into Mixture of Experts
Hongyi Zhou
Denis Blessing
Ge Li
Onur Celik
Xiaogang Jia
Gerhard Neumann
Rudolf Lioutikov
DiffM
46
3
0
18 Jun 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with
  Mixture of Experts
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik
Aleksandar Taranovic
Gerhard Neumann
36
7
0
11 Mar 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Mixtures of Experts Unlock Parameter Scaling for Deep RL
J. Obando-Ceron
Ghada Sokar
Timon Willi
Clare Lyle
Jesse Farebrother
Jakob N. Foerster
Gintare Karolina Dziugaite
Doina Precup
Pablo Samuel Castro
58
29
0
13 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
59
122
0
17 Jan 2024
Optimization on Submanifolds of Convolution Kernels in CNNs
Optimization on Submanifolds of Convolution Kernels in CNNs
Mete Ozay
Takayuki Okatani
51
46
0
22 Oct 2016
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