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. 1810.10654
  4. Cited By
Sample-Efficient Learning of Nonprehensile Manipulation Policies via
  Physics-Based Informed State Distributions

Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions

24 October 2018
Lerrel Pinto
Aditya Mandalika
Brian Hou
S. Srinivasa
ArXivPDFHTML

Papers citing "Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions"

5 / 5 papers shown
Title
Jacta: A Versatile Planner for Learning Dexterous and Whole-body
  Manipulation
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation
Jan Brüdigam
Ali-Adeeb Abbas
Maks Sorokin
Kuan Fang
Brandon Hung
Maya Guru
Stefan Sosnowski
Jiuguang Wang
Sandra Hirche
Simon Le Cleac'h
36
2
0
02 Aug 2024
Reinforcement Learning Experiments and Benchmark for Solving Robotic
  Reaching Tasks
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
16
15
0
11 Nov 2020
Learning to Slide Unknown Objects with Differentiable Physics
  Simulations
Learning to Slide Unknown Objects with Differentiable Physics Simulations
Changkyu Song
Abdeslam Boularias
27
39
0
11 May 2020
Identifying Mechanical Models through Differentiable Simulations
Identifying Mechanical Models through Differentiable Simulations
Changkyu Song
Abdeslam Boularias
19
12
0
11 May 2020
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
231
809
0
13 Nov 2016
1