NYU Tandon Game Innovation Lab
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@NYUGameLab
The Game Innovation Lab is an exciting, dynamic and flexible space for research and learning that takes games as an innovation challenge.
Diffusion models may memorize training images due to hidden “attraction basins” during #denoising. Sony AI’s solution: 🌀 Delay classifier-free guidance ↔️ Add Opposite Guidance ⚙️ No retraining needed Simple fix, big impact for originality. #CVPR2025 🔗bit.ly/4lfqtq4
Can we fix PCG generated well designed but non-functional game level levels?? Evolution based algorithms can help to make it functional. arxiv.org/html/2506.1935…
Excited to introduce the first version of Ludax, a domain-specific language for board games that compiles directly into JAX code! Preprint: arxiv.org/abs/2506.22609 Code: github.com/gdrtodd/ludax
We've all seen the barrage of video games generated by LLMs on social media. But can we automate this process, and measure the game-generation capabilities of LLMs in a more systematic way? To this end, we introduce ScriptDoctor, a framework for automatically generating grid-based puzzle games with LLMs. ScriptDoctor iteratively prompts models to generate code, then uses search-based agents to assess the complexity of the resultant games.
We (@amidos2006, @Matt_Barthet, @gallorob2, @SentientDesigns, @togelius, @yannakakis) would like to announce the Procedural Content Generation Benchmark (PCG Benchmark). The PCG Benchmark allows users working in PCG research to test their algorithms against a variety of games.
🚀Excited to share our new research: Word2Minecraft (arxiv.org/abs/2503.16536), which is an improvement to Word2World (arxiv.org/abs/2405.06686). Thanks to my supervisors Prof. @togelius, Dr. Steven James and Muhammad @utheprodigyn for their guidance and support! 1/13
We are pleased to announce our new work, “GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps” with Prof. @togelius and Dr. Steven James, is accepted to #NeurIPS2024 D&B track. 1/9
