Farama-Foundation / HighwayEnvLinks
A minimalist environment for decision-making in autonomous driving
☆2,981Updated last month
Alternatives and similar repositories for HighwayEnv
Users that are interested in HighwayEnv are comparing it to the libraries listed below
Sorting:
- Scalable Multi-Agent RL Training School for Autonomous Driving☆1,055Updated 6 months ago
- Implementations of Reinforcement Learning and Planning algorithms☆680Updated last year
- An OpenAI gym wrapper for CARLA simulator☆593Updated 3 years ago
- MetaDrive: Lightweight driving simulator for everyone☆972Updated this week
- Computational framework for reinforcement learning in traffic control☆1,142Updated last year
- A collection of reference environments for offline reinforcement learning☆1,551Updated 9 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,522Updated 3 weeks ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆364Updated 2 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,032Updated 2 years ago
- Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries…☆891Updated last month
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,560Updated 7 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆761Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,296Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,324Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,926Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,619Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,268Updated 5 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,066Updated 2 years ago
- ☆1,218Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,647Updated last year
- References on Optimal Control, Reinforcement Learning and Motion Planning☆965Updated 3 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,067Updated 2 months ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆720Updated 3 years ago
- 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…☆926Updated 4 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,848Updated last year
- Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"☆460Updated 4 years ago
- Self-driving car simulator for the Duckietown universe☆71Updated 9 months ago
- A toolkit for reproducible reinforcement learning research.☆2,015Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,235Updated last year
- Collection of reinforcement learning algorithms☆2,740Updated last year