tudouzhenbutian's repositories

CACC-platoon-control--sliding-mode-control

code for paper: [1] M. Hu, X. Wang, Y. Bian, D. Cao, and H. Wang, “Disturbance Observer-Based Cooperative Control of Vehicle Platoons Subject to Mismatched Disturbance,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2748–2758, Apr. 2023.

Language:MATLABStargazers:13Issues:1Issues:0

CACC-DQN

CACC using a reiforcement learning approach

Language:PythonStargazers:1Issues:0Issues:0

DDPG--platoon

Federated reinforcement learning applied to autonomous vehicle platoon control

Language:PythonLicense:GPL-3.0Stargazers:1Issues:0Issues:0

DRL-MPC--AD

Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems

Language:PythonStargazers:1Issues:0Issues:0

MARL--CACC

MARL for CACC

Language:PythonStargazers:1Issues:0Issues:0

OSRL-offline-safe-RL-

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

Language:PythonLicense:Apache-2.0Stargazers:1Issues:0Issues:0

RL-PSF

A framework for stabilizing a floating offshore wind turbine using Reinforcement Learning and a Predictive Safety Filter.

Language:PythonLicense:GPL-3.0Stargazers:1Issues:0Issues:0

soft-safety-filter

an implementation of a soft constrained model predictive safety filter with stability guarantees

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

benchmark-DMPC-platoon

Simulations of vehicle platooning using hybrid model predictive control strategies.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

cacc-DDPG

CACC-DDPG

Language:PythonStargazers:0Issues:0Issues:0

learning-safety-in-mpc-based-rl

Safety-aware MPC-based RL framework

License:GPL-3.0Stargazers:0Issues:0Issues:0

MARL-papers-with-code

Multi-Agent Reinforcement Learning (MARL) papers with code

Stargazers:0Issues:0Issues:0

MARL_in_CAV_control_review

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects

License:MITStargazers:0Issues:0Issues:0

safe-MAS-deep-rl

Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces

License:MITStargazers:0Issues:0Issues:0

scale_truck_control

real word implement

Stargazers:0Issues:0Issues:0