wenbo9045's Stars
MCZhi/Predictive-Decision
[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model
JeffTheHacker/ContingenciesFromObservations
HKUST-Aerial-Robotics/MIND
MIND: Multi-modal Integrated PredictioN and Decision-making with Adaptive Interaction Modality Explorations
gokulsivasankar/RobustDecisionMaking
subh83/DOSL
Discrete Optimal Search Library (DOSL): A template-based C++ library for searching, path-finding and exploring discrete spaces such as graphs and simplicial complexes
ChaokangRen/ML_STUDY
MachineLearningStudy
vhgnguyen/occlusion_aware_behavior_planning
Risk based behavior planning for occluded scenarios
MuShibo/Micro-Wheeled_leg-Robot
全球最小的桌面级双轮腿机器人!
Thinklab-SJTU/Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
juloberno/mamcts
Multi-agent Monte Carlo Tree Search implementation in C++
bark-simulator/planner-rules-mcts
Behavior planner fusing runtime verification on traffic rules with single- and multi-agent Monte Carlo Tree Search
MizuhoAOKI/path_tracking_catalog
25 path-tracking algorithms are (goint to be) implemented with python.
MizuhoAOKI/python_simple_mppi
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
TUMFTM/cooperative_behavior_planning
i-ASL/An-Overview-on-Recent-Advances-in-Path-Integral-Control
This is the code repository of a tutorial overview of Path Integral (PI) approaches for stochastic optimal control and trajectory optimization. Different case studies were performed in MATLAB and ROS2/GAZEBO environment to demonstrate the effectiveness of stochastic control method for trajectory optimization.
raphychek/mbappe-nuplan
chauvinSimon/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
zyu494/LF-Net
anassinator/ilqr
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
ZhaiMen-Hub/DecisionPlanning
The repository implements some decision-making and contingency planning (contingency model predictive control) methods.
PhilippeW83440/MCTS-NNET
Monte Carlo Tree Search with Reinforcement Learning for Motion Planning
stuarteiffert/MCTS-GRNN
[ICRA2020] Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
JianZhou1212/interaction-safety-aware-motion-planning
Implementation of interaction and safety-aware motion planning
omron-sinicx/neural-astar
Official implementation of "Path Planning using Neural A* Search" (ICML-21)
bark-simulator/planner-mcts
Behavior planners based on single- and multi-agent Monte Carlo Tree Search
MajidMoghadam2006/RL-frenet-trajectory-planning-in-CARLA
Farama-Foundation/HighwayEnv
A minimalist environment for decision-making in autonomous driving
ProSeCo-Planning/ros_proseco_planning
The ROS interface as well as the Python packages for ProSeCo Planning
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments