The underlying architecture is MADDPG, and I am modifying the Multiagent Parlicle Environment such that it returns the shaped reward. Thus take a look at "MPE_custom" repository > dpprs branch.

This is a work in progress.

PyTorch Implementation of MADDPG is taken from Shariq Iqbal.

• OpenAI baselines, commit hash: 98257ef8c9bd23a24a330731ae54ed086d9ce4a7
• My fork of Multi-agent Particle Environments
• PyTorch, version: 0.3.0.post4
• OpenAI Gym, version: 0.9.4
• Tensorboard, version: 0.4.0rc3 and Tensorboard-Pytorch, version: 1.0 (for logging)

The versions are just what I used and not necessarily strict requirements.

All training code is contained within main.py. To view options simply run:

python main.py --help