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A Survey on Physics Informed Reinforcement Learning: Review and Open
  Problems

A Survey on Physics Informed Reinforcement Learning: Review and Open Problems

5 September 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "A Survey on Physics Informed Reinforcement Learning: Review and Open Problems"

11 / 11 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
41
0
0
24 Feb 2025
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of
  Geoscientific Systems
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
Yuan-Heng Wang
Hoshin V. Gupta
AI4CE
32
6
0
12 Oct 2023
Boosting Exploration in Actor-Critic Algorithms by Incentivizing
  Plausible Novel States
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States
C. Banerjee
Zhiyong Chen
N. Noman
18
3
0
01 Oct 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
115
237
0
20 May 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson
Zengyi Qin
Sicun Gao
Chuchu Fan
120
172
0
14 Sep 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based
  Control and Reinforcement Learning in Robotics
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics
Zhaocong Yuan
Adam W. Hall
Siqi Zhou
Lukas Brunke
Melissa Greeff
Jacopo Panerati
Angela P. Schoellig
OffRL
102
53
0
13 Sep 2021
Reward (Mis)design for Autonomous Driving
Reward (Mis)design for Autonomous Driving
W. B. Knox
A. Allievi
Holger Banzhaf
Felix Schmitt
Peter Stone
83
113
0
28 Apr 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
208
2,287
0
18 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
424
0
10 Mar 2020
Learning to Run challenge: Synthesizing physiologically accurate motion
  using deep reinforcement learning
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
19
60
0
31 Mar 2018
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