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 x960

Note (2023-09-26): Dearth was originally develeoped in Adobe Flash which is no longer supported by modern web browsers. The game is presented here emulated through Ruffle.rs. Load times are long and it is not entirely guaranteed the game will work properly.

Dearth Requirements, Screenshots
and More Information

GAMBIT End User License Agreement

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