omarathon/rl-multi-agent-car-parking
simulation/RL - multi-agent car parking using reinforcement learning
This project helps robotics engineers or simulation designers develop and test intelligent systems for parking vehicles in complex environments. It takes a simulated car parking scenario as input and outputs optimized control policies for multiple autonomous agents (cars) to navigate and park efficiently. Professionals in autonomous vehicle development or smart city planning would find this useful for prototyping and evaluating parking solutions.
No commits in the last 6 months.
Use this if you are developing or researching multi-agent autonomous parking systems and need a simulation environment to train and evaluate reinforcement learning models.
Not ideal if you are looking for a ready-to-deploy parking management system or a tool for real-world car park operations.
Stars
12
Forks
1
Language
C#
License
CC-BY-4.0
Category
Last pushed
Aug 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/omarathon/rl-multi-agent-car-parking"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Toni-SM/skrl
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with...
facebookresearch/BenchMARL
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL...
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
datamllab/rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
gtri/scrimmage
Multi-Agent Robotics Simulator