johnnywong2000 Goto Github PK

analyzengsim

analyzing NGSIM database: Car Following, Lane Changing

awesome-decision-making-reinforcement-learning

A selection of state-of-the-art research materials on decision making and motion planning.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-tensorflow-2

👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

carlafrenetframes

comparative-analysis-of-reinforcement-learning-models-for-lane-change-decision-making

Researched and compared DQN, Double DQN, and Dueling Double DQN for autonomous vehicle lane changing in Carla simulation. Evaluated performance and collision rates to guide model selection for safer real-world applications. Findings contribute to enhancing autonomous vehicle safety and efficiency.

constrained-decision-making-paper-list

Paper list for constrained policy optimization in reinforcement learning.

deep-reinforcement-learning-based-decision-making-in-autonomous-driving-tasks

Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks

lane-change-rl-carla

motion-planning-course

Motion Planning for Mobile Robots Course

motion_planning_autonomous_driving_vehicle

This is the coursera course project on "Motion planning for self-driving cars". The repository contains the functionality developed for motion planning for autonomous vehicles. It has motion planning and behavioral planning functionalities developed in python programming. The functions are tested in carla simulator.

multi-agent-reinforcement-learning-papers

Multi-Agent Reinforcement Learning (MARL) papers

optimization-based-idmc_carla

This work is submitted to IROS 2023: IEEE/RSJ International Conference on Intelligent Robots and Systems

path-planning

Lane-changing trajectory planning of the autonomous vehicle based on the quintic polynomial model

rl-mpc-lanemerging

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

sa_dqn

[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

self-driving-carla-drl

building and training a car in the CARLA simulator using Deep Reinforcement Learning

yolo-rl-carla