Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.
☆22Sep 11, 2023Updated 2 years ago
Alternatives and similar repositories for KFC
Users that are interested in KFC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Use deep learning to learn Koopman operator and LQR for optimal control☆18Sep 28, 2020Updated 5 years ago
- [ICLR 2024 Spotlight] Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆22Nov 25, 2024Updated last year
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆15Oct 10, 2023Updated 2 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- ☆26Mar 14, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆24Jan 25, 2024Updated 2 years ago
- ☆17May 31, 2024Updated last year
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆14Jul 13, 2024Updated last year
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Jan 14, 2023Updated 3 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆26Feb 28, 2022Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆45May 28, 2019Updated 6 years 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
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- Facebear's minimal implementation of SBAC (Soft behavior regularized actor critic, NIPS22 offline RL workshop)☆11Jul 4, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Data-driven Koopman control theory applied to reinforcement learning!☆35Aug 23, 2023Updated 2 years ago
- ☆17Jan 24, 2024Updated 2 years ago
- ☆13Sep 24, 2024Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆23Jul 16, 2022Updated 3 years ago
- This is the Simulation(Animation) of Inverted Pendulum's Swing up & Balance Control, For Swing up Control: Energy based Collocated Feedb…☆16Jul 30, 2021Updated 4 years ago
- ☆23Nov 3, 2023Updated 2 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆14Feb 2, 2025Updated last year
- Neural Koopman Lyapunov Control☆28May 5, 2023Updated 3 years ago
- ☆32Jan 25, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Codebase for "Learning the References of Online Model Predictive Control for Urban Self-Driving"☆25Feb 8, 2024Updated 2 years ago
- ☆13Aug 15, 2020Updated 5 years ago
- Piston-Driven Pneumatically-Actuated Soft Robots: modeling and backstepping control☆14Aug 13, 2024Updated last year
- Counterfactual explanations for Reinforcement Learning agents on Atari☆12Apr 3, 2023Updated 3 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆83May 7, 2024Updated 2 years ago
- ☆10Sep 19, 2023Updated 2 years ago
- ☆10Oct 15, 2020Updated 5 years ago
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆34May 31, 2024Updated last year
- Imitation learning from multiple experts☆13Aug 29, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Codes for Evolving Plastic ANNs☆14Dec 18, 2022Updated 3 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆58Oct 20, 2020Updated 5 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆18Oct 24, 2022Updated 3 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆20Mar 10, 2021Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆94Apr 5, 2021Updated 5 years ago
- ☆11Jun 4, 2024Updated last year
- Code and example associated with the paper 'Model Predictive Control of Nonlinear Latent Force Models: A Scenario-based Approach' by T. W…☆11Jun 22, 2022Updated 3 years ago