vikas-rajpoot / Contorl-CSTR-using-Reinforcement-learningLinks
This study explores using RL for CSTR control, assessing effectiveness vs. traditional controllers (PID, MPC). RL learns optimal behavior to maximize rewards, outperforming NMPC with exploration and lower computational load.
☆13Updated last year
Alternatives and similar repositories for Contorl-CSTR-using-Reinforcement-learning
Users that are interested in Contorl-CSTR-using-Reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- Automatically tuning PID parameters based on deep reinforcement learning algorithm☆21Updated last year
- ☆21Updated 2 years ago
- SNU-EPEL / Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor☆16Updated 3 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆42Updated 3 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆18Updated 7 months ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆38Updated last year
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆95Updated 4 years ago
- Exploiting Transformer in Reinforcement Learning for Interpretable Temporal Logic Motion Planning (RAL 2023)☆11Updated last year
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆50Updated 2 years ago
- ☆32Updated 6 years ago
- Model-based Reinforcement Learning for Building HVAC Control☆37Updated last year
- Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management☆54Updated 3 years ago
- Model predictive control–based value estimation for efficient reinforcement learning. This repository contains the code for the implement…☆11Updated 7 months ago
- Approximate Dynamic Programming exercises from Powell (2011)☆15Updated last year
- A Learning-based Energy Management Framework and Benchmark for Electric Vehicles☆32Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆29Updated last year
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆27Updated 3 years ago
- Thesis: Application of Reinforcement Learning for the Control of Nonlinear Dynamical Systems☆17Updated 5 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆45Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆40Updated 2 years ago
- Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on th…☆21Updated last year
- ☆76Updated 2 years ago
- ☆20Updated 3 years ago
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆15Updated last year
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆55Updated 3 years ago
- JDS1912 / Energy-Management-System-of-Hybrid-Fuel-Cell-Electric-Vehicle-using-Reinforcement-Learning☆13Updated 2 years ago