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. 2007.15242
  4. Cited By
Understanding the Stability of Deep Control Policies for Biped
  Locomotion

Understanding the Stability of Deep Control Policies for Biped Locomotion

30 July 2020
Hwangpil Park
R. Yu
Yoonsang Lee
Kyungho Lee
Jehee Lee
ArXivPDFHTML

Papers citing "Understanding the Stability of Deep Control Policies for Biped Locomotion"

4 / 4 papers shown
Title
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
11
2
0
22 Mar 2022
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills
Zhaoming Xie
Hung Yu Ling
N. Kim
M. van de Panne
112
105
0
09 May 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
175
495
0
08 Apr 2018
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
131
928
0
07 Jul 2017
1