LOLA-examples

Code on LOLA a in paper Learning with Opponent-Learning Awareness] using TorchOpt. The LOLA learning rule includes a term that accounts for the impact of one agent's policy on the anticipated parameter update of the other agents. We use MetaSGD as the inner-loop optimizer.

Usage

### Run LOLA
python3 lola_dice.py

### After get the result.npy, run visualization code
python3 visualize.py

Results

The figure illustrate the experimental result.