MAFTRL

Code for Multi-agent Fault-tolerant Reinforcement Learning with Noisy Environments (ICPADS 2020)

Requirements

• Python 3.6.10
• OpenAI baselines, version: 0.1.6
• Multi-agent Particle Environments
• PyTorch, version: 1.5.1
• OpenAI Gym, version: 0.10.5
• Tensorboard, version: 1.14.0 and TensorboardX, version: 2.0

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

How to Run

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

python main.py --help
or
python main-oc.py --help

The "Unreliable Environment" from our paper is referred to as unreliable_spread.py in this repo. You can get the result by run:

python main.py unreliable_spread maftrl
or
python main-oc.py unreliable_spread maftrl-oc

Citing our work

If you use this repo in your work, please consider citing the corresponding paper:

@INPROCEEDINGS{9359223,
  author={C. {Luo} and X. {Liu} and X. {Chen} and J. {Luo}},
  booktitle={2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS)}, 
  title={Multi-agent Fault-tolerant Reinforcement Learning with Noisy Environments}, 
  year={2020},
  volume={},
  number={},
  pages={164-171},
  doi={10.1109/ICPADS51040.2020.00031}}