15 citations · 18 across the 6 of their papers we have counts for
6 papers
Learning Local Constraints for Reinforcement-Learned Content Generators
Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1
Constraint-based game content generators that learn local constraints from existing content, such as Wave Function Collapse (WFC), can generate visually satisfying game levels but…
Evolutionary Level Repair
Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1
We address the problem of game level repair, which consists of taking a designed but non-functional game level and making it functional. This might consist of ensuring the complete…
Lode Enhancer: Level Co-creation Through Scaling
Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1
We explore AI-powered upscaling as a design assistance tool in the context of creating 2D game levels. Deep neural networks are used to upscale artificially downscaled patches of l…
Lode Encoder: AI-constrained co-creativity
Debosmita Bhaumik, Ahmed Khalifa, Julian Togelius
We present Lode Encoder, a gamified mixed-initiative level creation system for the classic platform-puzzle game Lode Runner. The system is built around several autoencoders which a…
Predicting Personas Using Mechanic Frequencies and Game State Traces
Michael Cerny Green, Ahmed Khalifa, M Charity +2
We investigate how to efficiently predict play personas based on playtraces. Play personas can be computed by calculating the action agreement ratio between a player and a generati…
Tree Search vs Optimization Approaches for Map Generation
Debosmita Bhaumik, Ahmed Khalifa, Michael Cerny Green +1
Search-based procedural content generation uses stochastic global optimization algorithms to search for game content. However, standard tree search algorithms can be competitive wi…