We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.
☆56Jun 14, 2024Updated last year
Alternatives and similar repositories for Physics_Informed_Model_Based_RL
Users that are interested in Physics_Informed_Model_Based_RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆57May 16, 2022Updated 3 years ago
- Microgrid/distribution network level energy market managed by an RL agent☆12Feb 19, 2021Updated 5 years ago
- Official Code for Eurographics 2025 paper "Versatile Physics-based Character Control with Hybrid Latent Representation"☆21Apr 30, 2025Updated last year
- AI control over HVAC☆10Mar 23, 2019Updated 7 years ago
- This repository contains all the supplementary material associated to the paper with title "Physics-Informed Multi-Agent Reinforcement Le…☆24Oct 18, 2025Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆13Jun 10, 2023Updated 2 years ago
- ☆12Nov 30, 2022Updated 3 years ago
- ☆15Apr 8, 2023Updated 3 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- Ultra fast power flow for scenario analysis.☆19Apr 19, 2024Updated 2 years ago
- Source Code for "Reinforcement Learning for Sequential Decision and Optimal Control" by Shengbo Eben Li☆18Dec 21, 2023Updated 2 years ago
- Official Implementation of "PLT:Part-Wise Latent Tokens as Adaptable Motion Priors for Physically Simulated Characters" (SIGGRAPH 2025)☆30Sep 3, 2025Updated 7 months ago
- Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.☆27Feb 6, 2022Updated 4 years ago
- Various Control Barrier Functions realized on cartpole.☆25Jun 29, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A model predictive control based voltage source inverter☆11Jan 11, 2020Updated 6 years ago
- Learning Optimal Policies Through Contact in Differentiable Simulation☆110May 3, 2024Updated last year
- ☆17May 31, 2024Updated last year
- This project explores Robotic Path Planning Using Diffusion Models (Janner et al., 2023) in 2D and 3D environments. The project was compl…☆13Feb 11, 2025Updated last year
- MSc Future Power Networks Final Project - Modelling of LV Distribution System (IEEE low-voltage test feeder network) using OpenDSS to det…☆23Sep 1, 2019Updated 6 years ago
- This repository contains programs to re-produce the results of the paper here https://arxiv.org/abs/2305.08094.☆11Jan 21, 2025Updated last year
- Implementation of Research paper, Deep reinforcement learning based framework for energy optimization and thermal comfort control in smar…☆24May 10, 2021Updated 4 years ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆39Oct 3, 2024Updated last year
- This project implements an intelligent Energy Management System (EMS) for optimizing Electric Vehicle (EV) charging efficiency using Rein…☆27Jul 22, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Oct 19, 2025Updated 6 months ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Apr 5, 2023Updated 3 years ago
- Energy trading using DQN☆29Oct 25, 2019Updated 6 years ago
- ☆70Jun 25, 2024Updated last year
- ☆12Sep 15, 2021Updated 4 years ago
- ☆15Nov 4, 2021Updated 4 years ago
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆20Mar 19, 2025Updated last year
- Code for Policy Bifurcation in Safe Reinforcement Learning☆10Jul 4, 2025Updated 9 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆11Oct 19, 2021Updated 4 years ago
- ☆18Feb 11, 2025Updated last year
- ☆19Jan 27, 2026Updated 3 months ago
- numerically stable dynamic bicycle model for discrete time control, accepted by IEEE IV2021 workshop☆10Sep 5, 2022Updated 3 years ago
- Simulation and implementation of a Nonlinear Model Predictive Growth Control for Soft Growth Robots☆12Dec 23, 2023Updated 2 years ago
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆25Oct 6, 2022Updated 3 years ago
- Companion code for Closed-Loop Koopman Operator Approximation☆16Mar 24, 2024Updated 2 years ago