Sam Earle - RankMe

48 papers A* 1A 2B 1C 9Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	The Garden of Forking Paths: Narrative Arc-Conditioned Gameplay Planning. CHI Extended Abstracts Yunge Wen, Chenliang Huang, Julian Togelius, Sam Earle
2025	J	`jnl`	A Markovian Framing of WaveFunctionCollapse for Procedurally Generating Aesthetically Complex Environments. CoRR Franklin Yiu, Mohan Lu, Nina Li, Kevin Joseph, Tianxu Zhang, Julian Togelius, Timothy Merino, Sam Earle
2025	J	`jnl`	All Stories Are One Story: Emotional Arc Guided Procedural Game Level Generation. CoRR Yunge Wen, Chenliang Huang, Hangyu Zhou, Zhuo Zeng, Chun Ming Louis Po, Julian Togelius, Timothy Merino, Sam Earle
2025	J	`jnl`	Amorphous Fortress Online: Collaboratively Designing Open-Ended Multi-Agent AI and Game Environments. CoRR M Charity, Mayu Wilson, Steven Lee, Dipika Rajesh, Sam Earle, Julian Togelius
2025	—	`conf`	Autoverse: Evolving Symbolic Neural Cellular Automata Environments to Train Player Agents. GECCO Companion Sam Earle, Julian Togelius
2025	—	`conf`	Demonstrating DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. CHI Extended Abstracts Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey
2025	A*	`conf`	DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. CHI Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey
2025	J	`jnl`	Enhancing Player Enjoyment with a Two-Tier DRL and LLM-Based Agent System for Fighting Games. CoRR Shouren Wang, Zehua Jiang, Fernando Sliva, Sam Earle, Julian Togelius
2025	J	`jnl`	PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning. CoRR In-Chang Baek, Sung-Hyun Kim, Sam Earle, Zehua Jiang, Jinha Noh, Julian Togelius, Kyung-Joong Kim
2025	J	`jnl`	PuzzleJAX: A Benchmark for Reasoning and Learning. CoRR Sam Earle, Graham Todd, Yuchen Li, Ahmed Khalifa, Muhammad Umair Nasir, Zehua Jiang, Andrzej Banburski-Fahey, Julian Togelius
2025	C	`conf`	ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search. CoG Sam Earle, Ahmed Khalifa, Muhammad Umair Nasir, Zehua Jiang, Graham Todd, Andrzej Banburski-Fahey, Julian Togelius
2025	J	`jnl`	ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search. CoRR Sam Earle, Ahmed Khalifa, Muhammad Umair Nasir, Zehua Jiang, Graham Todd, Andrzej Banburski-Fahey, Julian Togelius
2025	J	`jnl`	Video Game Level Design as a Multi-Agent Reinforcement Learning Problem. CoRR Sam Earle, Zehua Jiang, Eugene Vinitsky, Julian Togelius
2024	B	`conf`	Amorphous Fortress: Exploring Emergent Behavior and Complexity in Multi-Agent 0-Player Games. CEC M Charity, Sam Earle, Dipika Rajesh, Mayu Wilson, Julian Togelius
2024	J	`jnl`	Autoverse: An Evolvable Game Langugage for Learning Robust Embodied Agents. CoRR Sam Earle, Julian Togelius
2024	C	`conf`	DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. FDG Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu
2024	J	`jnl`	DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. CoRR Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu
2024	J	`jnl`	DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. CoRR Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey
2024	A	`conf`	LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. GECCO Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
2024	J	`jnl`	Large Language Models and Games: A Survey and Roadmap. CoRR Roberto Gallotta, Graham Todd, Marvin Zammit, Sam Earle, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis
2024	J	`jnl`	Making New Connections: LLMs as Puzzle Generators for The New York Times' Connections Word Game. CoRR Tim Merino, Sam Earle, Ryan Sudhakaran, Shyam Sudhakaran, Julian Togelius
2024	—	`conf`	Making New Connections: LLMs as Puzzle Generators for the New York Times' Connections Word Game. AIIDE Tim Merino, Sam Earle, Ryan Sudhakaran, Shyam Sudhakaran, Julian Togelius
2024	C	`conf`	Missed Connections: Lateral Thinking Puzzles for Large Language Models. CoG Graham Todd, Tim Merino, Sam Earle, Julian Togelius
2024	J	`jnl`	Missed Connections: Lateral Thinking Puzzles for Large Language Models. CoRR Graham Todd, Timothy Merino, Sam Earle, Julian Togelius
2024	J	`jnl`	PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators. CoRR Sam Earle, Zehua Jiang, Julian Togelius
2024	C	`conf`	Scaling, Control and Generalization in Reinforcement Learning Level Generators. CoG Sam Earle, Zehua Jiang, Julian Togelius
2023	J	`jnl`	Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs. CoRR M Charity, Dipika Rajesh, Sam Earle, Julian Togelius
2023	C	`conf`	Controllable Path of Destruction. CoG Matthew Siper, Sam Earle, Zehua Jiang, Ahmed Khalifa, Julian Togelius
2023	J	`jnl`	Controllable Path of Destruction. CoRR Matthew Siper, Sam Earle, Zehua Jiang, Ahmed Khalifa, Julian Togelius
2023	J	`jnl`	Evolutionary Machine Learning and Games. CoRR Julian Togelius, Ahmed Khalifa, Sam Earle, Michael Cerny Green, Lisa B. Soros
2023	J	`jnl`	LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization. CoRR Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
2023	C	`conf`	Level Generation Through Large Language Models. FDG Graham Todd, Sam Earle, Muhammad Umair Nasir, Michael Cerny Green, Julian Togelius
2023	J	`jnl`	Level Generation Through Large Language Models. CoRR Graham Todd, Sam Earle, Muhammad Umair Nasir, Michael Cerny Green, Julian Togelius
2023	J	`jnl`	Pathfinding Neural Cellular Automata. CoRR Sam Earle, Ozlem Yildiz, Julian Togelius, Chinmay Hegde
2023	J	`jnl`	Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games. CoRR Sam Earle, M Charity, Dipika Rajesh, Mayu Wilson, Julian Togelius
2022	—	`conf`	Generating Diverse Indoor Furniture Arrangements. SIGGRAPH Posters Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis
2022	J	`jnl`	Generating Diverse Indoor Furniture Arrangements. CoRR Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis
2022	A	`conf`	Illuminating diverse neural cellular automata for level generation. GECCO Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
2022	C	`conf`	Learning Controllable 3D Level Generators. FDG Zehua Jiang, Sam Earle, Michael Cerny Green, Julian Togelius
2022	J	`jnl`	Learning Controllable 3D Level Generators. CoRR Zehua Jiang, Sam Earle, Michael Cerny Green, Julian Togelius
2021	J	`jnl`	Exploring open-ended gameplay features with Micro RollerCoaster Tycoon. CoRR Michael Cerny Green, Victoria Yen, Sam Earle, Dipika Rajesh, Maria Edwards, Lisa B. Soros
2021	J	`jnl`	Illuminating Diverse Neural Cellular Automata for Level Generation. CoRR Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
2021	C	`conf`	Learning Controllable Content Generators. CoG Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager, Julian Togelius
2021	J	`jnl`	Learning Controllable Content Generators. CoRR Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager, Julian Togelius
2021	C	`conf`	Video Games as a Testbed for Open-Ended Phenomena. CoG Sam Earle, Julian Togelius, Lisa B. Soros
2020	—	`conf`	PCGRL: Procedural Content Generation via Reinforcement Learning. AIIDE Ahmed Khalifa, Philip Bontrager, Sam Earle, Julian Togelius
2020	J	`jnl`	PCGRL: Procedural Content Generation via Reinforcement Learning. CoRR Ahmed Khalifa, Philip Bontrager, Sam Earle, Julian Togelius
2020	J	`jnl`	Using Fractal Neural Networks to Play SimCity 1 and Conway's Game of Life at Variable Scales. CoRR Sam Earle

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.