lexfridman / deeptraffic
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
☆1,767Updated last year
Alternatives and similar repositories for deeptraffic:
Users that are interested in deeptraffic are comparing it to the libraries listed below
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,226Updated last year
- Reinforcement Learning codebase for self-driving car in Carla☆376Updated 4 years ago
- A SpaceX Rocket Lander environment for OpenAI gym using Box2D☆298Updated 4 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆843Updated 4 years ago
- Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes☆286Updated 2 years ago
- Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.☆145Updated 4 years ago
- Self-driving car simulator for the Duckietown universe☆60Updated 3 months ago
- For educational materials related to the spinning up workshops.☆195Updated 6 years ago
- Udacity's Self-Driving Car Nanodegree project files and notes.☆431Updated 7 years ago
- Deep Neuroevolution☆1,639Updated last year
- My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity☆63Updated 2 years ago
- Code for the Deep Learning with PyTorch lesson☆361Updated 2 years ago
- RL Notation and Pseudocode for Udacity's MLND program☆265Updated 2 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆797Updated 2 years ago
- An awesome list of self-driving cars☆223Updated 2 years ago
- The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…☆141Updated 5 years ago
- The comma.ai Speed Prediction Challenge!☆778Updated 4 years ago
- A driving dataset for the development and validation of fused pose estimators and mapping algorithms☆584Updated 8 months ago
- Starting files for the Udacity CarND Behavioral Cloning Project☆447Updated 2 years ago
- Notebooks for learning about object motion and localization methods in the last section of CVND.☆126Updated 2 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆826Updated 5 years ago
- Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving☆906Updated last year
- MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions☆104Updated 5 years ago
- A collection of labeled car driving datasets☆111Updated 3 years ago
- This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube☆434Updated 5 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated 10 months ago
- Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras☆230Updated 5 years ago
- Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera☆432Updated 4 years ago
- Neural Networks from Scratch☆184Updated 4 years ago
- ☆460Updated 7 months ago