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SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

14 March 2024
Nicholas Zolman
Urban Fasel
J. Nathan Kutz
Steven L. Brunton
    AI4CE
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Papers citing "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning"

22 / 22 papers shown
Title
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
73
0
0
21 Feb 2025
Koopman-Assisted Reinforcement Learning
Koopman-Assisted Reinforcement Learning
Preston Rozwood
Edward Mehrez
Ludger Paehler
Wen Sun
Steven L. Brunton
72
9
0
04 Mar 2024
Making Reinforcement Learning Work on Swimmer
Making Reinforcement Learning Work on Swimmer
Mael Franceschetti
Coline Lacoux
Ryan Ohouens
Antonin Raffin
Olivier Sigaud
OffRL
50
7
0
16 Aug 2022
Discovering Governing Equations from Partial Measurements with Deep
  Delay Autoencoders
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders
Joseph Bakarji
Kathleen P. Champion
J. Nathan Kutz
Steven L. Brunton
76
84
0
13 Jan 2022
dm_control: Software and Tasks for Continuous Control
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
66
403
0
22 Jun 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
92
1,811
0
13 Dec 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
57
361
0
03 Jul 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
82
1,139
0
28 Nov 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning
Adversarial Imitation via Variational Inverse Reinforcement Learning
A. H. Qureshi
Byron Boots
Michael C. Yip
39
61
0
17 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
62
225
0
14 Sep 2018
A Tour of Reinforcement Learning: The View from Continuous Control
A Tour of Reinforcement Learning: The View from Continuous Control
Benjamin Recht
51
623
0
25 Jun 2018
Learning Equations for Extrapolation and Control
Learning Equations for Extrapolation and Control
Subham S. Sahoo
Christoph H. Lampert
Georg Martius
26
232
0
19 Jun 2018
Deep Reinforcement Learning for De-Novo Drug Design
Deep Reinforcement Learning for De-Novo Drug Design
Mariya Popova
Olexandr Isayev
Alexander Tropsha
62
1,025
0
29 Nov 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
234
18,685
0
20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
96
2,423
0
15 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
759
11,793
0
09 Mar 2017
Towards Generalization and Simplicity in Continuous Control
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran
Kendall Lowrey
E. Todorov
Sham Kakade
OffRL
76
276
0
08 Mar 2017
Flow Navigation by Smart Microswimmers via Reinforcement Learning
Flow Navigation by Smart Microswimmers via Reinforcement Learning
S. Colabrese
K. Gustavsson
A. Celani
Luca Biferale
48
157
0
30 Jan 2017
Learning to reinforcement learn
Learning to reinforcement learn
Jane X. Wang
Z. Kurth-Nelson
Dhruva Tirumala
Hubert Soyer
Joel Z Leibo
Rémi Munos
Charles Blundell
D. Kumaran
M. Botvinick
OffRL
70
974
0
17 Nov 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
198
3,781
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
131
7,590
0
22 Sep 2015
Dyna-Style Planning with Linear Function Approximation and Prioritized
  Sweeping
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
R. Sutton
Csaba Szepesvári
A. Geramifard
Michael Bowling
OffRL
59
203
0
13 Jun 2012
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