Humanoid_MARL (Multi-Agent Reinforcement Learning for Humanoid Robots) is a research project that explores the application of reinforcement learning, machine learning, and game thoery techniques to enable multiple humanoid robots to perform complex tasks in a multi-agent environment.
To maintain consistency across systems, a Conda environment is used to manage all Python modules and dependencies in one spot. A installation script is provided in this repo and can be evoked by running the following command
./install_env.shOnce all the repository dependencies are installed, activate the Conda environment by running:
conda activate humanoidsA built-in script is provided for training the humanoids. To execute the bash script, use the following command:
./scripts/run.sh
This script will terminate all running trainers and restart the logging files within the log directory.