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

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

10 / 10 papers shown

Title
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 12 6 0 12 Oct 2023
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 13 3 0 01 Oct 2022
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 102 231 0 20 May 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 102 168 0 14 Sep 2021
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 85 33 0 13 Sep 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 67 112 0 28 Apr 2021
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 197 2,254 0 18 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 118 364 0 10 Mar 2020
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 13 59 0 31 Mar 2018