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MACAD-Gym v0.1.2
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@praveen-palanisamy praveen-palanisamy released this 08 Dec 03:46
· 46 commits to master since this release
0.1.2
418ccc6

MACAD-Gym learning environment 1
MACAD-Gym is a training platform for Multi-Agent Connected Autonomous
Driving (MACAD) built on top of the CARLA Autonomous Driving simulator.

MACAD-Gym provides OpenAI Gym-compatible learning environments for various
driving scenarios for training Deep RL algorithms in homogeneous/heterogenous,
communicating/non-communicating and other multi-agent settings. New environments and scenarios
can be easily added using a simple, JSON-like configuration.

Quick Start

Install MACAD-Gym using pip install macad-gym.
If you have CARLA installed, you can get going using the following 3 lines of code. If not, follow the
Getting started steps.

import gym
import macad_gym
env = gym.make("HomoNcomIndePOIntrxMASS3CTWN3-v0")

# Your agent code here

Any RL library that supports the OpenAI-Gym API can be used to train agents in MACAD-Gym. The MACAD-Agents repository provides sample agents as a starter.

See full README for more information.

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