FKITA:Fuzzy Knowledge Inference Based Dynamic Task Allocation Method for Multi-Agent Systems

Note

Installation instructions

• Set up StarCraft II and SMAC: Follow the Quick Start in https://zhuanlan.zhihu.com/p/627016542.

• Set up Google Research Football: Follow the Quick Start in https://github.com/google-research/football.

• Set up Multi-Agent Particle Environments: Follow the Quick Start in https://github.com/openai/multiagent-particle-envs.

Run an experiment

StarCraft Multi-Agent Challenge

python3 src/main.py --config=fkita --env-config=sc2 with env_args.map_name=2s3z env_args.seed=1

Google Research Football

python3 src/main.py --config=fkita --env-config=academy_3_vs_1_with_keeper with seed=1

Multi-Agent Particle Environments

python3 src/main.py --config=fkita --env-config=mpe_env with scenario_name=simple_tag seed=1

The config files act as defaults for an algorithm or environment.

They are all located in src/config.

--config refers to the config files in src/config/algs --env-config refers to the config files in src/config/envs

All results will be stored in the Results folder.

Saving and loading learnt models

Watching StarCraft II replays