lujingweihh / Event-triggered-deep-Q-networkLinks
Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.
☆22Updated last year
Alternatives and similar repositories for Event-triggered-deep-Q-network
Users that are interested in Event-triggered-deep-Q-network are comparing it to the libraries listed below
Sorting:
- code for paper: [1] M. Hu, X. Wang, Y. Bian, D. Cao, and H. Wang, “Disturbance Observer-Based Cooperative Control of Vehicle Platoons Sub…☆26Updated last year
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆19Updated last year
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆20Updated last year
- DevrajdasAdhikary / -Reinforcement-Learning-Based-Path-Following-Control-for-a-Vehicle-with-Variable-Delay-in-Drive-TraiImplement an RL -based path following controller using DDPG algorithm and apply it on the given vehicle model in the paper “Reinforcement…☆23Updated 2 years ago
- a RL-MPC control scheme for Autonomous Driving☆18Updated 2 years ago
- ☆75Updated 2 years ago
- Simulations of vehicle platooning using hybrid model predictive control strategies.☆16Updated 7 months ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆14Updated 3 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- course project: a simple implementation of Q learning and MPC☆17Updated 4 years ago
- Repo for the distributed-safe-learning-control for DMPC program☆12Updated last year
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆23Updated last year
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆13Updated 2 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆42Updated 3 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆13Updated 2 months ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- A non-cooperative Nash game-based upper-level controller and a lower-level controller based on quadratic programming allocation algorithm…☆14Updated last year
- Predictive Triggering Framework for Distributed Control of Resource Constrained Multi-agent Systems☆12Updated 6 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆14Updated 3 years ago
- Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles☆13Updated last year
- Reproduction of paper“Bandwidth-Aware Transmission Scheduling and Event-Triggered Distributed MPC for Vehicle Platoons”☆18Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 5 years ago
- Game Theory Course Project☆9Updated 6 years ago
- Distributed DeeP-LCC for CAV cooperation in mixed traffic☆12Updated 2 years ago
- Highway Traffic Control with MPC-based RL☆29Updated 2 months ago
- Reinforcement based gain calculation for a tracking LQR using actor-critic method☆21Updated 4 years ago
- Open code of my published paper: Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforc…☆26Updated last month
- ☆10Updated 3 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆18Updated 10 months ago