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Sam Earle

26 papers hereh-index 10816 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author8
  • middle author15
  • last author2

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.AI14
  • cs.LG6
  • cs.NE3
  • cs.CL2
  • cs.GR1
same name
  • Sam Earle — 6 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedLarge Language Models and Games: A Survey and Roadmap

122 citations · 260 across the 25 of their papers we have counts for

collaborators
Showing 2023 · cs.AIShow all

4 papers · 2 filters

cs.AI2023

Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games

Sam Earle, M Charity, Dipika Rajesh +2

We explore the generation of diverse environments using the Amorphous Fortress (AF) simulation framework. AF defines a set of Finite State Machine (FSM) nodes and edges that can be…

cs.AI2023

Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs

M Charity, Dipika Rajesh, Sam Earle +1

We introduce a system called Amorphous Fortress -- an abstract, yet spatial, open-ended artificial life simulation. In this environment, the agents are represented as finite-state…

cs.AI2023

Controllable Path of Destruction

Matthew Siper, Sam Earle, Zehua Jiang +2

Path of Destruction (PoD) is a self-supervised method for learning iterative generators. The core idea is to produce a training set by destroying a set of artifacts, and for each d…

cs.AI2023★ 83 cited

Level Generation Through Large Language Models

Graham Todd, Sam Earle, Muhammad Umair Nasir +2

Large Language Models (LLMs) are powerful tools, capable of leveraging their training on natural language to write stories, generate code, and answer questions. But can they genera…

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