Singapore-MIT GAMBIT Game Lab spacer
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Dearth is a research tool designed to help us understand the strengths and weaknesses of Markov Decision Problem solvers for implementing game artificial intelligence, specifically for side-kick characters. The goal is to develop character behaviors automatically, based on a description of the game rules, instead of a programmer-generated set of behaviors. The human-human game mode serves as a testbed for future research, presenting increasingly difficult challenges to the MDP solver.

Change game resolution: 800 x 600 | 1024 x 768 | 1280 x 960

Dearth Requirements, Screenshots
and More Information

GAMBIT End User License Agreement

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