Clone this repo:
https://github.com/divilian/IPD-LLM
and run the program as follows (for instance):
$ python cli.py 150 \
--agent-fracs TitForTat 0.3 Mean 0.3 Sucker 0.4 \
--p-same 0.1 --p-diff 0.01 \
--num-iter 100 --plot
You can run “python cli.py -h“, too, to see all the command line arguments and what they mean.
Bonus points to anyone who can vary the parameters such that (1) they maintain at least 5% of all three non-LLM agent types (Mean, Sucker, and TitForTat), and (2) the TitForTat agents, on average, come out the winners.








