Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Code for paper "Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning".
Requirements
To install requirements:
pip install -r requirements.txt
Training and Evaluation
To obtain the meta representation in 3 Markov Games in the resource occupying environment, run:
python main.py --use_gpu --env_id resource --model_name multi_3_scenarios
To train the MRA agents with different game settings, try to change the task_list and spec_list in main.py.
For example, change 6,9,12 to 3,6,12,24.
Acknowledgement
Some of our code is built upon the following repositories: