Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning

3 November 2020

Jan Peters

Papers citing "Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning"

29 / 29 papers shown

Title
Accelerating Model-Based Reinforcement Learning with State-Space World Models Maria Krinner Elie Aljalbout Angel Romero Davide Scaramuzza OffRL 66 1 0 27 Feb 2025
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction Peter Yichen Chen Chao Liu Pingchuan Ma John Eastman Daniela Rus Dylan Randle Yuri Ivanov Wojciech Matusik 41 0 0 04 Oct 2024
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics Yu Zhang Yongxiang Zou Haoyu Zhang Zeyu Liu Houcheng Li Long Cheng AI4CE 29 0 0 08 Aug 2024
A Review of Differentiable Simulators Rhys Newbury Jack Collins Kerry He Jiahe Pan Ingmar Posner David Howard Akansel Cosgun AI4CE 41 9 0 08 Jul 2024
Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning Matteo Caldana P. Antonietti Luca Dede' AI4CE PINN 19 1 0 26 Feb 2024
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer Jun Yamada Marc Rigter Jack Collins Ingmar Posner 26 5 0 07 Nov 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 16 5 0 05 Sep 2023
On Physical Origins of Learning Alex Ushveridze AI4CE 12 0 0 27 Jul 2023
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes Weizhe (Wesley) Chen R. Khardon Lantao Liu 19 9 0 02 Jun 2023
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning Daniel Palenicek M. Lutter João Carvalho Jan Peters 16 4 0 07 Mar 2023
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control Achkan Salehi Stéphane Doncieux OffRL 11 2 0 02 Mar 2023
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks Hongrui Zheng Rahul Mangharam 20 1 0 02 Mar 2023
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 23 89 0 15 Nov 2022
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation Mengxi Li Rika Antonova Dorsa Sadigh Jeannette Bohg 11 4 0 04 Nov 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 21 15 0 07 Oct 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 28 21 0 30 Jun 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective Rika Antonova Jingyun Yang Krishna Murthy Jatavallabhula Jeannette Bohg 78 32 0 28 Jun 2022
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects Priya Sundaresan Rika Antonova Jeannette Bohg 3DPC 37 34 0 07 Apr 2022
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data Kun Wang Mridul Aanjaneya Kostas Bekris 11 5 0 28 Feb 2022
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 19 6 0 15 Jan 2022
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 10 78 0 01 Nov 2021
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 22 7 0 24 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 31 38 0 05 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa T. Bhattacharjee Matthew R. Walter Jan Peters 19 35 0 05 May 2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks Eric Heiden David Millard Erwin Coumans Yizhou Sheng Gaurav Sukhatme 13 136 0 09 Nov 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 125 422 0 10 Mar 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm Giovanni Sutanto Austin S. Wang Yixin Lin Mustafa Mukadam Gaurav Sukhatme Akshara Rai Franziska Meier 86 54 0 24 Jan 2020