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Mortar: Evolving Mechanics for Automatic Game Design
We present Mortar, a system for autonomously evolving game mechanics for automatic game design. Game mechanics define the rules and …
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MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the …
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Skill-Driven Neurosymbolic State Abstractions
We consider how to construct state abstractions compatible with a given set of abstract actions, to obtain a well-formed abstract …
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Play-style Identification and Player Modelling for Generating Tailored Advice in Video Games
Learning new skills often leads to disengagement when individuals face obstacles arising from limited experience, poor instruction, or …
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Real-time Prediction of Dota 2 Match Outcomes using In-game Chat Logs
This paper investigates the application of supervised learning for the purpose of match outcome prediction from Dota 2 in game chat …
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The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages
This paper presents the Esethu Framework, a sustainable data curation framework specifically designed to empower local communities and …
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M-SAT: Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Actions
Effective decision-making in complex environments with multi-discrete action spaces poses significant challenges for agent …
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Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
In spite of finite dimension ReLU neural networks being a consistent factor behind recent deep learning successes, a theory of feature …
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GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
Large language models (LLMs) have recently demonstrated great success in generating and understanding natural language. While they have …
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The Zeno’s Paradox of ‘Low-Resource’ Languages
The disparity in the languages commonly studied in Natural Language Processing (NLP) is typically reflected by referring to languages …
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