lexfridman / deeptrafficLinks
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
☆1,790Updated 2 years ago
Alternatives and similar repositories for deeptraffic
Users that are interested in deeptraffic are comparing it to the libraries listed below
Sorting:
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,365Updated last year
- A simple self-driving car module for humans 🚘 🛣️☆516Updated 4 months ago
- Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving☆918Updated 2 years ago
- Self-driving car simulator for the Duckietown universe☆70Updated 10 months ago
- Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTo…☆386Updated 2 years ago
- Teach a Quadcopter How to Fly!☆112Updated 3 years ago
- A End to End CNN Model which predicts the steering wheel angle based on the video/image☆150Updated 7 years ago
- Scenarios, tutorials and demos for Autonomous Driving☆2,393Updated last month
- RL Notation and Pseudocode for Udacity's MLND program☆265Updated 3 years ago
- A reinforcement learning environment for self-driving cars in the browser.☆372Updated 5 years ago
- Udacity's Self-Driving Car Nanodegree project files and notes.☆433Updated 7 years ago
- Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes☆287Updated 3 years ago
- Starting files for the Udacity CarND Behavioral Cloning Project☆452Updated 3 years ago
- This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube☆439Updated 6 years ago
- Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera☆454Updated 5 years ago
- Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras☆233Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree projects.☆2,878Updated 2 years ago
- Repository to store conditional imitation learning based AI that runs on CARLA.☆466Updated 3 years ago
- Reinforcement Learning codebase for self-driving car in Carla☆400Updated 5 years ago
- A driving dataset for the development and validation of fused pose estimators and mapping algorithms☆627Updated 2 months ago
- An awesome list of self-driving cars☆224Updated 3 years ago
- Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.☆151Updated 5 years ago
- Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks☆329Updated 4 years ago
- How to run CARLA simulator on colab☆101Updated 2 years ago
- Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.☆271Updated 5 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆858Updated 5 years ago
- My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity☆63Updated 2 years ago
- A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes☆1,278Updated last year
- Reinforcement learning material, code and exercises for Udacity Nanodegree programs.☆89Updated 3 years ago
- The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…☆146Updated 6 years ago