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"
A Japanese (Riichi) Mahjong AI Framework
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 PyTorch implementation of Implicit Behavioral Cloning
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
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.
behavior cloning from observation
Self Driving Car Nanodegree Offered By Udacity
Behavioural cloning experiments with video games
Official codebase for Sirius: Robot Learning on the Job
Deep learning to train an autonomous vehicle to mimic human driving
end to end learning for self-driving
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