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Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)

Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)

I. Halperin
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Papers citing "Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)"

2 / 2 papers shown
Title
Is $L^2$ Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?
Is L2L^2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?
Chuwei Wang
Shanda Li
Di He
Liwei Wang
AI4CE
PINN
36
28
0
04 Jun 2022
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
367
1,975
0
04 May 2020