20220108-MTOA: Accuracy improvement from undertaking additional overlapping tasks follows a law of diminishing returns.

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.Experiment Label: MTOA-20220108Experiment design: Agents improve average accuracy by tackling several tasks.Experiment setting: Agents are trained with respect to different tasks and then coordinate upon acting on them. Each time they disagree, one agent adapts its knowledge with respect to the current task.Hypotheses: The higher is the number of carried out tasks, the higher the average accuracy is.Detailed information can be found in index.html or notebook.ipynb.[1] https://sake.re/20220108-MTOA[2] https://gitlab.inria.fr/moex/lazylav/