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Run, skeleton, run: skeletal model in a physics-based simulation
18 November 2017
Mikhail Pavlov
Sergey Kolesnikov
Sergey Plis
AI4CE
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Papers citing
"Run, skeleton, run: skeletal model in a physics-based simulation"
6 / 6 papers shown
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates
International Conference on Learning Representations (ICLR), 2023
Nicholas Corrado
Josiah P. Hanna
292
6
0
26 Oct 2023
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion
V. Barbera
Fabio Pardo
Yuval Tassa
M. Daley
C. Richards
Petar Kormushev
J. Hutchinson
204
19
0
11 Dec 2021
Guaranteeing Reproducibility in Deep Learning Competitions
Brandon Houghton
Stephanie Milani
Nicholay Topin
William H. Guss
Katja Hofmann
Diego Perez-Liebana
Manuela Veloso
Ruslan Salakhutdinov
OOD
198
8
0
12 May 2020
Artificial Intelligence for Prosthetics - challenge solutions
L. Kidzinski
Carmichael F. Ong
Sharada Mohanty
Jennifer Hicks
Sean F. Carroll
...
E. Tumer
J. Watson
M. Salathé
Sergey Levine
Scott L. Delp
115
49
0
07 Feb 2019
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
187
95
0
02 Apr 2018
Learning to Run with Actor-Critic Ensemble
Zhewei Huang
Shuchang Zhou
BoEr Zhuang
Xinyu Zhou
OffRL
78
25
0
25 Dec 2017
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