Farama-Foundation / HighwayEnvLinks
A minimalist environment for decision-making in autonomous driving
☆3,115Updated 2 months ago
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☆1,092Updated 10 months ago
- Implementations of Reinforcement Learning and Planning algorithms☆704Updated last year
- An OpenAI gym wrapper for CARLA simulator☆601Updated 3 years ago
- MetaDrive: Lightweight driving simulator for everyone☆1,058Updated 4 months ago
- References on Optimal Control, Reinforcement Learning and Motion Planning☆972Updated 3 years ago
- Computational framework for reinforcement learning in traffic control☆1,170Updated last year
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,655Updated 2 weeks ago
- A collection of reference environments for offline reinforcement learning☆1,622Updated last year
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆372Updated 2 years ago
- Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries…☆968Updated 2 months ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,235Updated 3 weeks ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,921Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,053Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,317Updated 9 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,701Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,809Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,658Updated 11 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,005Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,381Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,375Updated this week
- ☆1,298Updated last year
- Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]☆510Updated last month
- Python Multi-Agent Reinforcement Learning framework☆2,128Updated 3 years ago
- Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"☆462Updated 5 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,296Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆738Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,836Updated last year
- A JAX-based simulator for autonomous driving research.☆1,012Updated last month
- Python implementation of a bunch of multi-robot path-planning algorithms.☆1,392Updated 2 years ago