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. 2102.09968
  4. Cited By
Deluca -- A Differentiable Control Library: Environments, Methods, and
  Benchmarking

Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking

19 February 2021
Paula Gradu
John Hallman
Daniel Suo
Alex Yu
Naman Agarwal
Udaya Ghai
Karan Singh
Cyril Zhang
Anirudha Majumdar
Elad Hazan
ArXivPDFHTML

Papers citing "Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking"

4 / 4 papers shown
Title
Optimal Rates for Bandit Nonstochastic Control
Optimal Rates for Bandit Nonstochastic Control
Y. Jennifer Sun
Stephen Newman
Elad Hazan
37
7
0
24 May 2023
Do Differentiable Simulators Give Better Policy Gradients?
Do Differentiable Simulators Give Better Policy Gradients?
H.J. Terry Suh
Max Simchowitz
Kaipeng Zhang
Russ Tedrake
32
95
0
02 Feb 2022
Gradients are Not All You Need
Gradients are Not All You Need
Luke Metz
C. Freeman
S. Schoenholz
Tal Kachman
36
93
0
10 Nov 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body
  Simulation
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Freeman
Erik Frey
Anton Raichuk
Sertan Girgin
Igor Mordatch
Olivier Bachem
48
355
0
24 Jun 2021
1