duckietown / gym-duckietown
Self-driving car simulator for the Duckietown universe
☆54Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for gym-duckietown
- Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version☆829Updated 5 years ago
- Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes☆288Updated 2 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆557Updated last year
- ☆408Updated 6 years ago
- An OpenAI gym wrapper for CARLA simulator☆540Updated 2 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆612Updated 3 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆829Updated 3 years ago
- Implementations of Reinforcement Learning and Planning algorithms☆589Updated 9 months ago
- ☆338Updated 6 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆306Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆353Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆651Updated 5 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,216Updated 11 months ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆700Updated last week
- ☆305Updated last year
- Tools for accelerating safe exploration research.☆505Updated last year
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆587Updated 6 months ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆336Updated last year
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆568Updated 2 years ago
- World Models Experiments☆620Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆607Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆513Updated 3 years ago
- Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.☆242Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆365Updated 3 years ago
- Structural implementation of RL key algorithms☆511Updated last year
- A simple framework for experimenting with Reinforcement Learning in Python.☆272Updated 8 months ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆483Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆706Updated 10 months ago