Farama-Foundation / HighwayEnvLinks
A minimalist environment for decision-making in autonomous driving
☆3,028Updated 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☆1,074Updated 8 months ago
- Implementations of Reinforcement Learning and Planning algorithms☆690Updated last year
- An OpenAI gym wrapper for CARLA simulator☆596Updated 3 years ago
- Computational framework for reinforcement learning in traffic control☆1,150Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,880Updated last year
- MetaDrive: Lightweight driving simulator for everyone☆1,019Updated 2 months ago
- Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries…☆915Updated 3 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,650Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,289Updated 7 months ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆366Updated 2 years ago
- References on Optimal Control, Reinforcement Learning and Motion Planning☆966Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,717Updated last year
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,582Updated this week
- Python Multi-Agent Reinforcement Learning framework☆2,090Updated 2 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,039Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,969Updated 2 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,604Updated 9 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,347Updated last year
- ☆1,266Updated last year
- A collection of reference environments for offline reinforcement learning☆1,587Updated 11 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,656Updated 3 years ago
- PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control☆1,662Updated last week
- SMAC: The StarCraft Multi-Agent Challenge☆1,263Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,339Updated last month
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,144Updated last month
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,196Updated last year
- Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"☆462Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆733Updated 3 years ago
- 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla☆879Updated last year