ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.11711
  4. Cited By
Neural probabilistic motor primitives for humanoid control

Neural probabilistic motor primitives for humanoid control

28 November 2018
J. Merel
Leonard Hasenclever
Alexandre Galashov
Arun Ahuja
Vu Pham
Greg Wayne
Yee Whye Teh
N. Heess
ArXivPDFHTML

Papers citing "Neural probabilistic motor primitives for humanoid control"

50 / 50 papers shown
Title
PhysicsFC: Learning User-Controlled Skills for a Physics-Based Football Player Controller
PhysicsFC: Learning User-Controlled Skills for a Physics-Based Football Player Controller
Minsu Kim
Eunho Jung
Yoonsang Lee
31
0
0
29 Apr 2025
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
Junjie Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
64
4
0
09 Feb 2025
Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs
Aayam Shrestha
Pan Liu
German Ros
Kai Yuan
Alan Fern
70
2
0
08 Feb 2025
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation
Huy Le
Miroslav Gabriel
Tai Hoang
Gerhard Neumann
Ngo Anh Vien
116
1
0
22 Nov 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
59
0
0
23 Oct 2024
Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots
Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots
Pranay Dugar
Aayam Shrestha
Fangzhou Yu
Bart Jaap van Marum
Alan Fern
39
10
0
30 Jul 2024
Proximal Policy Distillation
Proximal Policy Distillation
Giacomo Spigler
OffRL
28
1
0
21 Jul 2024
SuperPADL: Scaling Language-Directed Physics-Based Control with
  Progressive Supervised Distillation
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation
Jordan Juravsky
Yunrong Guo
Sanja Fidler
Xue Bin Peng
AI4CE
44
9
0
15 Jul 2024
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary
  Trajectories
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang
Yu-Xiong Wang
OnRL
42
1
0
06 Jun 2024
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Nicklas Hansen
V. JyothirS
Vlad Sobal
Yann LeCun
Xiaolong Wang
Hao Su
VGen
57
10
0
28 May 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
42
0
0
15 Apr 2024
MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete
  Representations
MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations
Heyuan Yao
Zhenhua Song
Yuyang Zhou
Tenglong Ao
Baoquan Chen
Libin Liu
28
38
0
16 Oct 2023
Hierarchical generative modelling for autonomous robots
Hierarchical generative modelling for autonomous robots
Kai Yuan
Noor Sajid
Karl J. Friston
Zhibin Li
29
12
0
15 Aug 2023
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait
  and Anatomical Conditions
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions
Jungnam Park
M. Park
Jehee Lee
Jungdam Won
3DH
40
5
0
07 Jun 2023
Simulation and Retargeting of Complex Multi-Character Interactions
Simulation and Retargeting of Complex Multi-Character Interactions
Yunbo Zhang
Deepak Gopinath
Yuting Ye
Jessica Hodgins
Greg Turk
Jungdam Won
31
31
0
31 May 2023
On the Value of Myopic Behavior in Policy Reuse
On the Value of Myopic Behavior in Policy Reuse
Kang Xu
Chenjia Bai
Shuang Qiu
Haoran He
Bin Zhao
Zhen Wang
Wei Li
Xuelong Li
38
1
0
28 May 2023
Learning to Transfer In-Hand Manipulations Using a Greedy Shape
  Curriculum
Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum
Yunbo Zhang
Alexander Clegg
Sehoon Ha
Greg Turk
Yuting Ye
44
8
0
14 Mar 2023
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended
  Exploration
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
Giulia Vezzani
Dhruva Tirumala
Markus Wulfmeier
Dushyant Rao
A. Abdolmaleki
...
Tim Hertweck
Thomas Lampe
Fereshteh Sadeghi
N. Heess
Martin Riedmiller
OffRL
43
6
0
24 Nov 2022
ControlVAE: Model-Based Learning of Generative Controllers for
  Physics-Based Characters
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
Heyuan Yao
Zhenhua Song
Bin Chen
Libin Liu
DRL
VGen
16
41
0
12 Oct 2022
Neural3Points: Learning to Generate Physically Realistic Full-body
  Motion for Virtual Reality Users
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
Efficient Planning in a Compact Latent Action Space
Efficient Planning in a Compact Latent Action Space
Zhengyao Jiang
Tianjun Zhang
Michael Janner
Yueying Li
Tim Rocktaschel
Edward Grefenstette
Yuandong Tian
OffRL
24
37
0
22 Aug 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
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 to Brachiate via Simplified Model Imitation
Learning to Brachiate via Simplified Model Imitation
Daniele Reda
Hung Yu Ling
M. van de Panne
37
11
0
08 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically
  Simulated Characters
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
Xue Bin Peng
Yunrong Guo
L. Halper
Sergey Levine
Sanja Fidler
28
15
0
04 May 2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From
  Human and Animal Behaviors
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
Steven Bohez
S. Tunyasuvunakool
Philemon Brakel
Fereshteh Sadeghi
Leonard Hasenclever
...
Nathan Batchelor
Federico Casarini
J. Merel
R. Hadsell
N. Heess
38
51
0
31 Mar 2022
Neural Circuit Architectural Priors for Embodied Control
Neural Circuit Architectural Priors for Embodied Control
Nikhil X. Bhattasali
A. Zador
Tatiana A. Engel
88
5
0
13 Jan 2022
The Wanderings of Odysseus in 3D Scenes
The Wanderings of Odysseus in 3D Scenes
Yan Zhang
Siyu Tang
32
48
0
16 Dec 2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture
  Policies
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
Dushyant Rao
Fereshteh Sadeghi
Leonard Hasenclever
Markus Wulfmeier
Martina Zambelli
...
Dhruva Tirumala
Y. Aytar
J. Merel
N. Heess
R. Hadsell
26
28
0
09 Dec 2021
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a
  Centroidal Dynamics Planner
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
Philemon Brakel
Steven Bohez
Leonard Hasenclever
N. Heess
Konstantinos Bousmalis
21
16
0
30 Oct 2021
Hierarchical Skills for Efficient Exploration
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
A Survey on Deep Learning for Skeleton-Based Human Animation
Lucas Mourot
Ludovic Hoyet
F. Clerc
Francois Schnitzler
Pierre Hellier
3DH
36
78
0
13 Oct 2021
FastMimic: Model-based Motion Imitation for Agile, Diverse and
  Generalizable Quadrupedal Locomotion
FastMimic: Model-based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion
Tianyu Li
Jungdam Won
Sehoon Ha
Akshara Rai
56
13
0
27 Sep 2021
From Motor Control to Team Play in Simulated Humanoid Football
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
Avoiding Tampering Incentives in Deep RL via Decoupled Approval
Avoiding Tampering Incentives in Deep RL via Decoupled Approval
J. Uesato
Ramana Kumar
Victoria Krakovna
Tom Everitt
Richard Ngo
Shane Legg
28
14
0
17 Nov 2020
REALab: An Embedded Perspective on Tampering
REALab: An Embedded Perspective on Tampering
Ramana Kumar
J. Uesato
Richard Ngo
Tom Everitt
Victoria Krakovna
Shane Legg
30
10
0
17 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via
  Representation and Reinforcement Learning
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
One Solution is Not All You Need: Few-Shot Extrapolation via Structured
  MaxEnt RL
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
16
90
0
27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
37
39
0
27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement
  Learning
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay
Aviral Kumar
Pulkit Agrawal
Sergey Levine
Ofir Nachum
OffRL
OnRL
39
155
0
26 Oct 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in
  Locomotion
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
Roland Hafner
Tim Hertweck
Philipp Kloppner
Michael Bloesch
Michael Neunert
Markus Wulfmeier
S. Tunyasuvunakool
N. Heess
Martin Riedmiller
20
19
0
06 Aug 2020
Hyperparameter Selection for Offline Reinforcement Learning
Hyperparameter Selection for Offline Reinforcement Learning
T. Paine
Cosmin Paduraru
Andrea Michi
Çağlar Gülçehre
Konrad Zolna
Alexander Novikov
Ziyun Wang
Nando de Freitas
GP
OffRL
49
146
0
17 Jul 2020
Critic Regularized Regression
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
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan
Kris Kitani
29
75
0
12 Jun 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped
  Locomotion
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
Augmenting learning using symmetry in a biologically-inspired domain
Augmenting learning using symmetry in a biologically-inspired domain
Shruti Mishra
A. Abdolmaleki
A. Guez
Piotr Trochim
Doina Precup
30
8
0
01 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete
  and Continuous Control
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
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
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
MCP: Learning Composable Hierarchical Control with Multiplicative
  Compositional Policies
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
20
192
0
23 May 2019
Emergence of Locomotion Behaviours in Rich Environments
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
1