huawei-noah / SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
☆987Updated 2 weeks ago
Alternatives and similar repositories for SMARTS:
Users that are interested in SMARTS are comparing it to the libraries listed below
- An OpenAI gym wrapper for CARLA simulator☆556Updated 3 years ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆345Updated last year
- Implementations of Reinforcement Learning and Planning algorithms☆606Updated last year
- MARL for Autonomous Vehicles☆272Updated 4 months ago
- MetaDrive: Open-source driving simulator☆843Updated this week
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆973Updated 2 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,422Updated 6 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,507Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆729Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆691Updated 2 years ago
- A minimalist environment for decision-making in autonomous driving☆2,736Updated 2 months ago
- multi-agent deep reinforcement learning for networked system control.☆402Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆680Updated last year
- xingtian is a componentized library for the development and verification of reinforcement learning algorithms☆310Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆600Updated 5 years ago
- A collection of reference environments for offline reinforcement learning☆1,411Updated 2 months ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆446Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,171Updated last year
- The repository is for safe reinforcement learning baselines.☆572Updated 2 weeks ago
- A parallel framework for population-based multi-agent reinforcement learning.☆515Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,262Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,149Updated 11 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆558Updated 4 months ago
- Python Multi-Agent Reinforcement Learning framework☆1,946Updated 2 years ago
- DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆531Updated 10 months ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆630Updated 6 years ago
- This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experime…☆240Updated 3 years ago
- Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries…☆779Updated last month
- Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator☆233Updated last year
- This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"☆326Updated last year