In a single-agent setting, IL was shown to be done efficiently via an inverse soft-Q learning process.

Blame attribution isoneofthekeyaspects ofaccountable decision making, asit provides means to quantify the responsibility of an agent for a decision making outcome. Inthis paper,we study blame attribution inthe contextof cooperative multi-agent sequential decision making.