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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
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
Differentiable Predictive Control for Robotics: A Data-Driven Predictive
  Safety Filter Approach
Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach
John Viljoen
Wenceslao Shaw-Cortez
Ján Drgoňa
Sebastian East
Masayoshi Tomizuka
D. Vrabie
55
3
0
20 Sep 2024
Controlgym: Large-Scale Control Environments for Benchmarking
  Reinforcement Learning Algorithms
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Xiangyuan Zhang
Weichao Mao
S. Mowlavi
M. Benosman
Tamer Basar
OffRLAI4CE
84
3
0
30 Nov 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
Melanie Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINNAI4CE
110
31
0
24 Jun 2023
Online Learning for Obstacle Avoidance
Online Learning for Obstacle Avoidance
David Snyder
Meghan Booker
Nathaniel Simon
Wenhan Xia
Daniel Suo
Elad Hazan
Anirudha Majumdar
80
2
0
14 Jun 2023
Online Nonstochastic Model-Free Reinforcement Learning
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai
Arushi Gupta
Wenhan Xia
Karan Singh
Elad Hazan
OffRL
96
6
0
27 May 2023
Optimal Rates for Bandit Nonstochastic Control
Optimal Rates for Bandit Nonstochastic Control
Y. Jennifer Sun
Stephen Newman
Elad Hazan
134
7
0
24 May 2023
Training Efficient Controllers via Analytic Policy Gradient
Training Efficient Controllers via Analytic Policy Gradient
Nina Wiedemann
Valentin Wüest
Antonio Loquercio
M. Müller
Dario Floreano
Davide Scaramuzza
OffRL
74
20
0
26 Sep 2022
Do Differentiable Simulators Give Better Policy Gradients?
Do Differentiable Simulators Give Better Policy Gradients?
H.J. Terry Suh
Max Simchowitz
Kai Zhang
Russ Tedrake
84
101
0
02 Feb 2022
A Regret Minimization Approach to Multi-Agent Control
A Regret Minimization Approach to Multi-Agent Control
Udaya Ghai
Udari Madhushani
Naomi Ehrich Leonard
Elad Hazan
58
5
0
28 Jan 2022
Gradients are Not All You Need
Gradients are Not All You Need
Luke Metz
C. Freeman
S. Schoenholz
Tal Kachman
98
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
113
380
0
24 Jun 2021
A Regret Minimization Approach to Iterative Learning Control
A Regret Minimization Approach to Iterative Learning Control
Naman Agarwal
Elad Hazan
Anirudha Majumdar
Karan Singh
73
14
0
26 Feb 2021
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