JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
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Updated
Oct 26, 2022 - Jupyter Notebook
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Third Project of the Udacity Self-Driving Car Nanodegree Program
A collection of all projects pertaining to different layers in the SDC software stack
A Mahjong AI for Mahjong Soul (雀魂)
Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019
Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning
Implementation of the paper "End to End Learning for Self-Driving Cars"
A PyTorch implementation of Implicit Behavioral Cloning
ROS2 End-to-End Lane Following Model with SVL Simulator
Deep Learning based pipeline for alignment of a robot with stairs
Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program
Autonomous driving simulation in the Unity engine.
Deep learning to train an autonomous vehicle to mimic human driving
end to end learning for self-driving
behavior cloning from observation
Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics
Behavioral Cloning Project for Self-Driving Car Nano Degree Term 1. The project includes designing a neural network and then training the car on the road in unity simulator. The CNN learns and clones the driving behavior.
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