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. 1810.00146
  4. Cited By
Auto-conditioned Recurrent Mixture Density Networks for Learning
  Generalizable Robot Skills

Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills

29 September 2018
Hejia Zhang
Eric Heiden
Stefanos Nikolaidis
Joseph J. Lim
Gaurav Sukhatme
ArXivPDFHTML

Papers citing "Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills"

5 / 5 papers shown
Title
Cost-to-Go Function Generating Networks for High Dimensional Motion
  Planning
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning
Jinwook Huh
Volkan Isler
Daniel D. Lee
3DV
36
20
0
10 Dec 2020
Learning a Decentralized Multi-arm Motion Planner
Learning a Decentralized Multi-arm Motion Planner
Huy Ha
Jingxi Xu
Shuran Song
23
51
0
05 Nov 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
177
494
0
08 Apr 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
246
810
0
13 Nov 2016
1