LucasAlegre / sumo-rl
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
☆811Updated last month
Alternatives and similar repositories for sumo-rl:
Users that are interested in sumo-rl are comparing it to the libraries listed below
- SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights☆291Updated 2 years ago
- multi-agent deep reinforcement learning for large-scale traffic signal control.☆372Updated 2 years ago
- A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to ma…☆449Updated 11 months ago
- All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/☆160Updated 5 years ago
- IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control☆197Updated last year
- Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)☆132Updated 9 months ago
- CoLight: Learning Network-level Cooperation for Traffic Signal Control☆174Updated last year
- multi-agent deep reinforcement learning for networked system control.☆403Updated 4 years ago
- multi agent RL for traffic light control in Sumo using distributed PPO☆118Updated last year
- Computational framework for reinforcement learning in traffic control☆1,102Updated 8 months ago
- MARL for Autonomous Vehicles☆285Updated 5 months ago
- ☆132Updated 4 months ago
- This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellma…☆149Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆584Updated 6 months ago
- Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem☆121Updated 2 years ago
- Scalable Multi-Agent RL Training School for Autonomous Driving☆1,001Updated 2 months ago
- A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario☆836Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆464Updated last year
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆349Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,498Updated 8 months ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆594Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆352Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆596Updated 8 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆402Updated this week
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,547Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆333Updated 4 years ago
- SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control☆38Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆726Updated 2 years ago