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constrained_ilqr

data-efficient-reinforcement-learning-with-probabilistic-model-predictive-control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

env_build

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

gaussian-process-based-model-predictive-control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

gp-mpc

MPC with Gaussian Process

learningmpc

Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.

matlab-simulator-for-rss-based-motion-planning-of-connected-autonomous-vehicles

mivecc_with_drl

This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods.

mpc-cbf

"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718

mvtp_benchmark

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pve-mcc_for_unsignalized_intersection

Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future smart cities, this project proposed a Progressive Value-expectation Estimation Multi-agent Cooperative Control (PVE-MCC) algorithm based on reinforcement learning. The algorithm takes the intelligent networked vehicles as the research object and designed the reward function for the optimization objective from the three aspects of traffic efficiency, safety, and comfort.

racinglmpc

Implementation of the Learning Model Predictive Controller for autonomous racing

robust-tube-mpc

Robust model predictive control using tube

rtd

safe-exploration

Safe Exploration with MPC and Gaussian process models

sumo-v2x-communication-research-platooning-and-cim

Traffic simulation project for dissertation

traffic-intersection-simulator-for-autonomous-vehicles

A Simulator for Traffic Intersection based on Crossroads technique

wilabv2xsim

V2X simulator

zebai66