arXiv AI
Jun 19
Augmenting Game AI with Deep Reinforcement Learning
arXiv:2606. 20210v1 Announce Type: new Abstract: Immersion in video games depends not only on graphics, audio, and game mechanics, but also on the quality of in-game characters.
Chess\_db: A framework for working with large chess game datasets
arXiv:2607. 21195v1 Announce Type: cross Abstract: Chess is a two player strategic game that is embedded in classical AI culture as it was once the frontier for intelligent behaviour.
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arXiv AI
Jul 15
Representing and Generating Levels Over Time through Playtrace Reconstructive Partitioning
arXiv:2607. 12097v1 Announce Type: new Abstract: Video games are a dynamic medium experienced over time.
arXiv AI
Jun 24
Grounded Chess Reasoning in Language Models via Master Distillation
arXiv:2603. 20510v2 Announce Type: replace Abstract: Language models often lack grounded reasoning capabilities in specialized domains where training data is scarce but bespoke systems excel.
arXiv AI
5d ago
DiG-bench: Discovery in Games
arXiv:2608. 12593v1 Announce Type: new Abstract: Discovery---formulating novel generalizations---is a central part of the scientific process.
arXiv AI
Jul 1
From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commentary
arXiv:2506. 17294v3 Announce Type: replace-cross Abstract: The advent of artificial intelligence has propelled AI-Generated Game Commentary (AI-GGC) into a rapidly expanding research area, offering advantages such as scalable availability and personalized narration.
arXiv AI
Jun 9
A Survey on Large Language Model-Based Game Agents
arXiv:2404. 02039v5 Announce Type: replace Abstract: Game environments provide rich, controllable settings that stimulate many aspects of real-world complexity.
arXiv AI
1d ago
Discovering High-Quality Chess Puzzles with Offline Reinforcement Learning
arXiv:2608. 14851v1 Announce Type: new Abstract: Learning and skill mastery require extensive and deliberate practice.
Hugging Face Trending Papers
Jun 10
Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data
The conventional approach to deep learning over relational databases applies neural models, such as Graph Neural Networks (GNNs), to a graph representation of the database. Recent approaches instead operate on databases directly, associating tuples with embeddings and extending query mechanisms to jointly process embeddings and relational content.
arXiv AI
Jul 14
People use fast and flat simulation to reason about new games
arXiv:2510. 11503v2 Announce Type: replace-cross Abstract: Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence (AI), often focusing on expert-level or even super-human play.
arXiv AI
Jul 15
Matilda: Engine-Agnostic Search with Human Policy Guidance
arXiv:2606. 25176v2 Announce Type: replace Abstract: Chess engines have evolved from search-based systems optimized solely for strength to neural policies capable of modeling human decisions across much of the rating spectrum.
arXiv AI
Jul 2
Play Like Champions: Counterfactual Feedback Generation in Latent Space
arXiv:2607. 00190v1 Announce Type: cross Abstract: Recent advances in reinforcement learning have produced superhuman agents across a wide range of competitive games.
arXiv AI
Jun 17
WallZero: Mastering the Game of WallGo with Strategic Analysis
arXiv:2606. 17847v1 Announce Type: new Abstract: WallGo is a recently introduced strategic board game popularized by the 2025 Netflix series The Devil's Plan.