thibo73800 / metacarLinks
A reinforcement learning environment for self-driving cars in the browser.
☆372Updated 5 years ago
Alternatives and similar repositories for metacar
Users that are interested in metacar are comparing it to the libraries listed below
Sorting:
- The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…☆144Updated 6 years ago
- Self-driving car simulator for the Duckietown universe☆64Updated 6 months ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆818Updated 3 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆370Updated 5 years ago
- High Fidelity Simulator for Reinforcement Learning and Robotics Research.☆586Updated 3 years ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆489Updated 5 years ago
- MCTS project for Tetris☆347Updated 7 months ago
- Deep Reinforcement Learning Framework + Algorithms☆415Updated 2 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆651Updated 2 years ago
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆814Updated 2 years ago
- ☆412Updated 7 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆217Updated 5 years ago
- Reinforcement learning with A* and a deep heuristic☆294Updated 6 years ago
- Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.☆149Updated 4 years ago
- A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bel…☆189Updated 2 years ago
- An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf☆282Updated 2 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆397Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆566Updated 2 years ago
- Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes☆287Updated 3 years ago
- Implementation of reinforcement learning approach to make a car learn to drive☆110Updated 2 years ago
- ☆303Updated 2 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆257Updated 5 years ago
- PPO implementation for OpenAI gym environment based on Unity ML Agents☆149Updated 7 years ago
- This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube☆162Updated 7 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,195Updated 2 years ago
- World Models Experiments☆646Updated 2 years ago
- This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow fo…☆424Updated 2 years ago
- SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.☆328Updated 2 years ago
- Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator☆303Updated 5 years ago