20230505-MTOA: Multitasking agents improve their average and maximum accuracy when tasks overlap.

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.

Experiment Label: 20230505-MTOA

Experiment design: Agents specialize by accepting or not to play a task.

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: Agents will improve their accuracy more on tasks they choose to play.

Detailed information can be found in index.html or notebook.ipynb.

[1] https://sake.re/20230505-MTOA
[2] https://gitlab.inria.fr/moex/lazylav/