azae4's Stars
alexliniger/MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
praveen-palanisamy/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
michigan-traffic-lab/Dense-Deep-Reinforcement-Learning
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
urosolia/RacingLMPC
Implementation of the Learning Model Predictive Controller for autonomous racing
s7ev3n/MPC_Code
Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.
m5823779/motion-planner-reinforcement-learning
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Tsinghua-MARS-Lab/M2I
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
lucasrm25/Gaussian-Process-based-Model-Predictive-Control
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
teddyluo/motion-planning-chs
运动规划综述中文翻译
akifumi-wachi-4/safe_near_optimal_mdp
Safe Reinforcement Learning in Constrained Markov Decision Processes
FilippoAiraldi/learning-safety-in-mpc-based-rl
Safety-aware MPC-based RL framework
AlgTUDelft/WCSAC
Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
AlokD123/Hybrid-Storage_Project
Project applying reinforcement learning to control an electric vehicle's energy storage system
natetsang/optimizing-PHEV-battery-use
Utilizing dynamic programming, I optimally schedule electric battery usage for a plug-in hybrid electric vehicle to minimize fuel consumption.
giftfuture/An-adaptive-hierarchical-energy-management-strategy
An adaptive hierarchical energy management strategy for hybrid electric vehicles
hossam-mossalam/multi-objective-deep-rl
Multi-Objective Deep Reinforcement Learning
bghojogh/DNMPC-Platooning
The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning
mahaitongdae/Approximate-Dynamic-Programming
ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
chaveza9/LaneChange-OCBF
Code for the paper @article{ author={Armijos, A. S. C. and Li, A. and Cassandras, C. G.}, title={Maximizing Safety and Efficiency for Cooperative Lane-Changing: A Minimally Disruptive Approach}, journal={26th IEEE Conf. on Intelligent Transportation Systems ITSC}, year={2023} }
anupam2690/Electric-Vehicle-Powertrain-Modelling
Model Nissan Leaf in MATLAB Simulink to plot the Wheel Torque, Wheel Speed, Motor Torque, Motor Speed and Battery Current
AmrinderRai/MARL-Cooperative-Path-Planning
Multi-Agent Reinforcement Learning for Path Planning
josem93/resource_constrained_predictive_triggering
Predictive Triggering Framework for Distributed Control of Resource Constrained Multi-agent Systems
libai2020/Cooperative_Parking_Trajectory_Planning
第三章.低速非结构化场景中的多车协同决策与规划方法
nikhn94/MPC-ACC-Project
Basic ACC implemented using MPC in MATLAB
giftfuture/Hybrid-Vehicles
The aim of this project was to determine how to balance thermal and electric motors in a hybrid vehicle in order to limit petrol consumption.
giftfuture/Transfer_DRL_EMS
Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management
XuanlinZeng/RL-MPC-LaneMerging
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging