Hierarchical Policy Blending as Inference for Reactive Robot Control

Hierarchical Policy Blending as Inference for Reactive Robot Control

14 October 2022

Jan Peters

Georgia Chalvatzaki

Papers citing "Hierarchical Policy Blending as Inference for Reactive Robot Control"

9 / 9 papers shown

Title
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Moritz Reuss Jyothish Pari Pulkit Agrawal Rudolf Lioutikov DiffM MoE 84 6 0 17 Dec 2024
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations V. Prasad Alap Kshirsagar Dorothea Koert R. Stock-Homburg Jan Peters Georgia Chalvatzaki DRL 54 6 0 10 Jul 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 46 3 0 18 Jun 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts Onur Celik Aleksandar Taranovic Gerhard Neumann 36 7 0 11 Mar 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning Lirui Wang Jialiang Zhao Yilun Du Edward H. Adelson Russ Tedrake 79 28 0 04 Feb 2024
Pseudo-Likelihood Inference Theo Gruner Boris Belousov Fabio Muratore Daniel Palenicek Jan Peters 29 0 0 28 Nov 2023
Accelerating Motion Planning via Optimal Transport An T. Le Georgia Chalvatzaki Armin Biess Jan Peters OT 20 11 0 27 Sep 2023
Hierarchical Policy Blending As Optimal Transport An T. Le Kay Hansel Jan Peters Georgia Chalvatzaki OT 40 7 0 04 Dec 2022
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior Karl Van Wyk Mandy Xie Anqi Li M. A. Rana Buck Babich ... Iretiayo Akinola Balakumar Sundaralingam Dieter Fox Byron Boots Nathan D. Ratliff AI4CE 84 37 0 21 Sep 2021