I also asked this question here but I'm repeating it on this SE because I feel it is more relevant. No intention to spam.
I am researching into coding a solver for a variant of the Sokoban game with multiple agents, restrictions (eg. colors of stones, goals) and relaxations (push AND pull possible, etc.)
By researching online I have found classic papers in the field, like the Rolling Stone paper (by Andreas Junghanns and Jonathan Schaeffer) and Sokoban: Enhancing general single-agent search methods using domain knowledge from the same authors.
From the research, I've done these two seem to be my best bet.
It is apparent that they are not enough by themselves to solve a multi-agent environment. Those solvers are made for a single agent. So far, I have failed to find useful multi-agent proposals.
In this context, my question is:
- What can be considered state-of-the-art in order to:
- coordinate multiple agents with different goals, and
- plug a solver's solution in and validate/edit it?
- What are some search terms I can use to research this further?
Thank you very much