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This paper presents TotalBotWar, a new pseudo real-time multi-actionchallenge for game AI, as well as some initial experiments that benchmark theframework with different agents. The game is based on the real-time battles ofthe popular TotalWar games series where players manage an army to defeat theopponent's one. In the proposed game, a turn consists of a set of orders tocontrol the units. The number and specific orders that can be performed in aturn vary during the progression of the game. One interesting feature of thegame is that if a particular unit does not receive an order in a turn, it willcontinue performing the action specified in a previous turn. The turn-wisebranching factor becomes overwhelming for traditional algorithms and thepartial observability of the game state makes the proposed game an interestingplatform to test modern AI algorithms.

TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI