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"

28 / 78 papers shown

Title
A physics-informed reinforcement learning approach for the interfacial area transport in two-phase flow Z. Dang M. Ishii AI4CE 23 7 0 06 Aug 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 56 67 0 26 Jul 2019
Encoding Invariances in Deep Generative Models Viraj Shah Ameya Joshi Sambuddha Ghosal B. Pokuri Soumik Sarkar Baskar Ganapathysubramanian Chinmay Hegde PINN GAN 58 30 0 04 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 130 899 0 04 Jun 2019
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction N. Benjamin Erichson Michael Muehlebach Michael W. Mahoney AI4CE PINN 71 141 0 26 May 2019
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces Chen Tessler Tom Zahavy Deborah Cohen D. Mankowitz Shie Mannor 79 18 0 23 May 2019
Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems Jin-Long Wu K. Kashinath A. Albert D. Chirila P. Prabhat Heng Xiao AI4CE 52 134 0 13 May 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 63 266 0 20 Apr 2019
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions Xiao Li C. Belta 30 41 0 23 Mar 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 85 624 0 21 Mar 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 56 56 0 15 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 91 129 0 28 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 83 420 0 07 Dec 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 228 603 0 04 Jun 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 98 480 0 23 Apr 2018
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 80 62 0 31 Mar 2018
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system Kendall Lowrey S. Kolev Jeremy Dao Aravind Rajeswaran E. Todorov 77 58 0 28 Mar 2018
Feedback Control For Cassie With Deep Reinforcement Learning Zhaoming Xie Glen Berseth Patrick Clary J. Hurst M. van de Panne 69 175 0 15 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 195 5,218 0 26 Feb 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 57 69 0 29 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,144 0 02 Jan 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 146 5,212 0 10 Nov 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 144 1,101 0 28 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 553 19,296 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,520 0 07 Jun 2017
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 91 575 0 24 Dec 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013