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"

50 / 78 papers shown

Title
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 112 0 0 21 Feb 2025
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 81 31 0 29 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 70 39 0 17 May 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 82 15 0 16 May 2023
Physical Deep Reinforcement Learning Towards Safety Guarantee H. Cao Y. Mao L. Sha Marco Caccamo AI4CE 24 5 0 29 Mar 2023
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) Amartya Mukherjee Jun Liu 52 11 0 01 Feb 2023
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management Yuanzheng Li Shangyang He Yang Li Yang Shi Zhigang Zeng AI4CE 52 55 0 29 Dec 2022
Physics-Informed Model-Based Reinforcement Learning Adithya Ramesh Balaraman Ravindran 54 10 0 05 Dec 2022
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging Soumith Udatha Yiwei Lyu John M. Dolan 64 1 0 01 Dec 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 102 98 0 15 Nov 2022
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering Jun Lv Yunhai Feng Cheng Zhang Shu Zhao Lin Shao Cewu Lu 67 26 0 27 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 60 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 227 256 0 20 May 2022
Accelerated Policy Learning with Parallel Differentiable Simulation Jie Xu Viktor Makoviychuk Yashraj S. Narang Fabio Ramos Wojciech Matusik Animesh Garg Miles Macklin 72 95 0 14 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 103 59 0 31 Mar 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 119 1,273 0 14 Jan 2022
Learning to Jump from Pixels G. Margolis Tao Chen Kartik Paigwar Xiang Fu Donghyun Kim Sangbae Kim Pulkit Agrawal 103 83 0 28 Oct 2021
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 54 42 0 11 Oct 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 46 32 0 24 Sep 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 146 176 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 144 55 0 13 Sep 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 59 7 0 16 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 82 40 0 31 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 78 28 0 12 Jul 2021
Learning Functional Priors and Posteriors from Data and Physics Xuhui Meng Liu Yang Zhiping Mao J. Ferrandis George Karniadakis AI4CE 165 61 0 08 Jun 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 137 118 0 28 Apr 2021
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions Max H. Cohen C. Belta OffRL 57 42 0 16 Apr 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos Chenxi Liu PINN 73 82 0 30 Mar 2021
Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions Zhiyuan Cai Huanhui Cao Wenjie Lu Lin Zhang Hao Xiong 21 27 0 23 Mar 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 89 157 0 03 Mar 2021
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function Haitong Ma Jianyu Chen Shengbo Eben Li Ziyu Lin Yang Guan Yangang Ren Sifa Zheng 51 66 0 02 Mar 2021
Representation Matters: Offline Pretraining for Sequential Decision Making Mengjiao Yang Ofir Nachum SSL OffRL 85 119 0 11 Feb 2021
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 70 86 0 04 Dec 2020
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation Zhengyi Luo Ryo Hachiuma Ye Yuan Shun Iwase Kris Kitani 69 7 0 10 Nov 2020
Learning Task Space Actions for Bipedal Locomotion Helei Duan Jeremy Dao Kevin R. Green Taylor Apgar Alan Fern J. Hurst 47 45 0 09 Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 77 34 0 03 Nov 2020
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition J. Siekmann Yesh Godse Alan Fern J. Hurst 81 159 0 02 Nov 2020
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 507 2,453 0 18 Oct 2020
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries Ali Kashefi Davis Rempe Leonidas Guibas 3DPC AI4CE 62 204 0 15 Oct 2020
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning Guillermo Garcia-Hernando Edward Johns Tae-Kyun Kim 3DH 56 69 0 07 Aug 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 99 133 0 14 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 576 2,045 0 04 May 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions Jason J. Choi F. Castañeda Claire Tomlin Koushil Sreenath 43 185 0 16 Apr 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 178 438 0 10 Mar 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 73 92 0 02 Jan 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 135 1,374 0 03 Dec 2019
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 84 122 0 29 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 140 209 0 25 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 114 189 0 28 Oct 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,158 0 08 Oct 2019