Hierarchical visuomotor control of humanoids

23 November 2018

Arun Ahuja

Papers citing "Hierarchical visuomotor control of humanoids"

32 / 32 papers shown

Title
Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen V. JyothirS Vlad Sobal Yann LeCun Xiaolong Wang Hao Su VGen 54 10 0 28 May 2024
Hierarchical generative modelling for autonomous robots Kai Yuan Noor Sajid Karl J. Friston Zhibin Li 29 12 0 15 Aug 2023
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 28 4 0 09 Nov 2022
Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users Yongjing Ye Libin Liu Lei Hu Shi-hong Xia 3DH 52 27 0 13 Sep 2022
What deep reinforcement learning tells us about human motor learning and vice-versa Michele Garibbo Casimir J. H. Ludwig Nathan Lepora Laurence Aitchison 21 0 0 23 Aug 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control Nolan Wagener Andrey Kolobov Felipe Vieira Frujeri Ricky Loynd Ching-An Cheng Matthew J. Hausknecht 32 21 0 15 Aug 2022
Learning fast and agile quadrupedal locomotion over complex terrain Xu Chang Zhitong Zhang Honglei An Hongxu Ma Qing Wei 29 0 0 02 Jul 2022
Learning to Get Up Tianxin Tao Matthew Wilson R. Gou M. van de Panne 28 17 0 30 Apr 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
A Survey on Deep Learning for Skeleton-Based Human Animation Lucas Mourot Ludovic Hoyet F. Clerc Francois Schnitzler Pierre Hellier 3DH 34 78 0 13 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 26 8 0 05 Oct 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 130 0 25 May 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 132 82 0 16 Jan 2021
Multi-expert learning of adaptive legged locomotion Chuanyu Yang Kai Yuan Qiuguo Zhu Wanming Yu Zhibin Li 111 184 0 10 Dec 2020
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 29 35 0 23 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 35 3 0 16 Nov 2020
Learning Human Search Behavior from Egocentric Visual Inputs Maks Sorokin Wenhao Yu Sehoon Ha Chenxi Liu EgoV 29 3 0 06 Nov 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 36 319 0 26 Jun 2020
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis Ye Yuan Kris Kitani 29 75 0 12 Jun 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 23 74 0 15 May 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 20 15 0 07 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 424 0 20 Jan 2020
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning Tianyu Li Nathan Lambert Roberto Calandra Franziska Meier Akshara Rai 21 40 0 26 Sep 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 37 121 0 26 Sep 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control Yu-Wei Chao Jimei Yang Weifeng Chen Jia Deng 24 42 0 20 Aug 2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio 24 47 0 25 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 71 0 13 Jun 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 18 192 0 23 May 2019
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning Joonho Lee Jemin Hwangbo Marco Hutter 9 86 0 22 Jan 2019
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 143 928 0 07 Jul 2017