Specializing Versatile Skill Libraries using Local Mixture of Experts

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Specializing Versatile Skill Libraries using Local Mixture of Experts

8 December 2021

Dongzhuoran Zhou

Gerhard Neumann

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Papers citing "Specializing Versatile Skill Libraries using Local Mixture of Experts"

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Title
Theory on Mixture-of-Experts in Continual Learning Hongbo Li Sen-Fon Lin Lingjie Duan Yingbin Liang Ness B. Shroff MoE MoMe CLL 275 17 0 20 Feb 2025
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 500 4 0 12 Oct 2024
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information Takayuki Osa Voot Tangkaratt Masashi Sugiyama 66 33 0 12 Mar 2021
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 64 95 0 27 Oct 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 79 54 0 24 Apr 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation P. Becker Oleg Arenz Gerhard Neumann 39 16 0 23 Jan 2020
Self-Paced Contextual Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Jan Peters 73 49 0 07 Oct 2019
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 97 674 0 02 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 319 8,432 0 04 Jan 2018
Policy Search with High-Dimensional Context Variables Voot Tangkaratt H. V. Hoof Simone Parisi Gerhard Neumann Jan Peters Masashi Sugiyama 44 14 0 10 Nov 2016

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