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. 2010.14834
  4. Cited By
DeepQ Stepper: A framework for reactive dynamic walking on uneven
  terrain

DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain

28 October 2020
Avadesh Meduri
Majid Khadiv
Ludovic Righetti
ArXivPDFHTML

Papers citing "DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain"

3 / 3 papers shown
Title
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Lingfan Bao
Josephine N. Humphreys
Tianhu Peng
Chengxu Zhou
79
7
0
25 Apr 2024
An Open Torque-Controlled Modular Robot Architecture for Legged
  Locomotion Research
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research
F. Grimminger
Avadesh Meduri
Majid Khadiv
Julian Viereck
Manuel Wüthrich
...
Felix Widmaier
Thomas Flayols
J. Fiene
Alexander Badri-Spröwitz
Ludovic Righetti
25
207
0
30 Sep 2019
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
97
13,174
0
09 Sep 2015
1