122 citations · 257 across the 38 of their papers we have counts for
6 papers · 1 filter
The Time Value of Evolution
Matthew Siper, Ahmed Khalifa, Julian Togelius
In evolutionary search, a weak child can be a valuable ancestor that makes high-fitness regions reachable. Immediate-return control is blind to this delayed utility, penalizing mut…
ELMER: Evolutionary Language Model that Explores and Refines
Matthew Siper, Ahmed Khalifa, Julian Togelius
Program evolution can measure whether a mutation helped, but it rarely controls how far the mutation moves in behavior space. Syntactic edit size is an unreliable proxy: a small co…
Continuous Program Search
Matthew Siper, Muhammad Umair Nasir, Ahmed Khalifa +3
Genetic Programming yields interpretable programs, but small syntactic mutations can induce large, unpredictable behavioral shifts, degrading locality and sample efficiency. We fra…
PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators
Sam Earle, Zehua Jiang, Julian Togelius
Procedural Content Generation via Reinforcement Learning (PCGRL) has been introduced as a means by which controllable designer agents can be trained based only on a set of computab…
The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings
Timothy Merino, Roman Negri, Dipika Rajesh +2
The five-dollar model is a lightweight text-to-image generative architecture that generates low dimensional images from an encoded text prompt. This model can successfully generate…
Pathfinding Neural Cellular Automata
Sam Earle, Ozlem Yildiz, Julian Togelius +1
Pathfinding makes up an important sub-component of a broad range of complex tasks in AI, such as robot path planning, transport routing, and game playing. While classical algorithm…