rbosh / ml-adpLinks
Approximate dynamic programming for stochastic optimal control in Pytorch
☆23Updated 2 years ago
Alternatives and similar repositories for ml-adp
Users that are interested in ml-adp are comparing it to the libraries listed below
Sorting:
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆44Updated 3 years ago
- Adaptive dynamic programming（ADP） 自适 应动态规划☆46Updated 5 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆15Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆24Updated 3 years ago
- MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system☆32Updated 7 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 years ago
- ☆76Updated 7 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆53Updated 6 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆15Updated 3 years ago
- ☆14Updated last year
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago
- ☆48Updated 4 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆51Updated 6 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆11Updated 5 years ago
- ADP☆10Updated 8 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆27Updated 3 years ago
- Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)☆11Updated 7 months ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆100Updated 4 years ago
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 5 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Heuristic Dynamic Programming with Python☆14Updated 11 years ago
- Gradient descent algorithms for LQG control☆14Updated 3 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Updated 2 years ago
- Approximate Dynamic Programming and Reinforcement Learning - Programming Assignment☆10Updated 6 years ago