An implementation of Multi-agent TD3.
A simple multi-agent particle world based on gym. Please see here to install and know more about the environment.
- python3.5+
- paddlepaddle>=2.0.0
- parl>=2.0.4
- PettingZoo==1.17.0
- gym==0.23.1
# To train an agent for simple_speaker_listener scenario
python train.py
# To train for other scenario, model is automatically saved every 1000 episodes
python train.py --env [ENV_NAME]
# To show animation effects after training
python train.py --env [ENV_NAME] --show --restore
# To train and evaluate scenarios with continuous action spaces
python train.py --env [ENV_NAME] --continuous_actions
python train.py --env [ENV_NAME] --continuous_actions --show --restore