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#game-ai

Teaching a World Model to Play Pokemon

Hacker News Top ↗ · 3d ago Cached

This article details an experiment to train a world model based on JEPA architecture to play Pokémon Red, exploring the process and challenges involved in teaching AI to navigate a game environment.

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#game-ai

@spawn: JEV is now in Spawn it makes decisions 10 times a second. creators are already using it for NPCs, bosses, and puzzles t…

X AI KOLs Following ↗ · 2026-09-22 Cached

JEV, an AI model for rapid decision-making, is now integrated into Spawn, enabling game creators to design dynamic NPCs, bosses, and puzzles that respond intelligently.

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#game-ai

GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay

Hugging Face Daily Papers ↗ · 2026-09-21 Cached

The paper introduces GameHorizon Suite, a unified data and evaluation framework for assessing AI models' capabilities in gameplay across multiple temporal horizons, featuring an annotation pipeline, large-scale dataset, and reproducible benchmark.

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#game-ai

GPT-6 Astra just defeated STS2 on its own for me (Computer use)

Reddit r/singularity ↗ · 2026-09-20

A user reports that GPT-6 independently played and won a run of Slay the Spire 2 without external assistance, though with mistakes and usage limits, leading them to speculate about its proto-AGI potential.

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#game-ai

@FinanceYF5: Jev simultaneously runs 50 sessions of *Subway Surfers*, with operating speed surpassing humans, and the total running …

X AI KOLs Timeline ↗ · 2026-09-20

Jev can run 50 sessions of Subway Surfers simultaneously with operating speed surpassing humans at a cost under 1 US cent, offering a high-speed execution capability that complements large models for AI agents.

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#game-ai

Jev playing 9 real-time classic games simultaneously with a single API call for $1.80/h

Reddit r/singularity ↗ · 2026-09-18 Cached

Jev is a system that can play nine classic games simultaneously using a single API call, costing $1.80 per hour, showcasing efficient AI performance in real-time gaming.

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#game-ai

AlexWortega/openjev

Hugging Face Models Trending ↗ · 2026-09-16 Cached

openjev is a model based on Qwen3.5 trained for entailment tasks, enabling applications in reranking, grading, and real-time game playing, with the v2 version adding multi-modal capabilities and improved zero-shot performance.

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#game-ai

AI for Games in the Foundation Model Era

Hugging Face Daily Papers ↗ · 2026-09-15 Cached

This paper surveys the use of foundation models in game AI across roles like playing, modeling, design, and evaluation, highlighting transferability challenges and the need for game-specific validation.

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#game-ai

@MinLiBuilds: How do they make this kind of video? So seamless, so hilariously goofy. Black Myth: Wukong - Old Man AI tweaking UI is …

X AI KOLs Timeline ↗ · 2026-09-13

The post asks how a seamless and hilariously goofy video featuring AI-tweaked UI in Black Myth: Wukong was created, highlighting the rarity of such content.

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#game-ai

Compiling VGDL into Causal Models

arXiv cs.AI ↗ · 2026-09-10 Cached

The paper proposes a deterministic framework that compiles games specified in VGDL into Dynamic Structural Causal Models to guarantee causal fidelity, enabling transparent causal pathways for counterfactual reasoning and causal reinforcement learning.

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#game-ai

Quoting Tarn Adams

Simon Willison's Blog ↗ · 2026-09-01 Cached

A quote from Tarn Adams, co-creator of Dwarf Fortress, discussing the shift from 'AI' to 'dwarf behavior' in game development and critiquing industry trends.

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#game-ai

PokaiTrainer: Scaling Belief-State Search to Competitive Pok\'emon VGC

arXiv cs.LG ↗ · 2026-09-01 Cached

This paper introduces PokaiTrainer, an AI agent for competitive Pokémon VGC that scales belief-state search to handle simultaneous actions and stochastic outcomes, achieving a high Elo rating on live ladders.

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#game-ai

ShuttleArena: Interpretable Self-Play in Physics-Based Badminton

arXiv cs.LG ↗ · 2026-08-27 Cached

This paper introduces ShuttleArena, a physics-based self-play environment for badminton where agents learn interpretable tactical policies using PPO, showing competitive improvement in shot selection and recovery.

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#game-ai

GameWAM: A World Action Model for Video Games

Hugging Face Daily Papers ↗ · 2026-08-25 Cached

GameWAM introduces the first unified world-action model for native video-game control, jointly predicting future visuals and executable actions using block-causal flow matching and mode-specific distributions.

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#game-ai

I transformed Pokelike.xyz into a LLM and RL benchmark!

Reddit r/LocalLLaMA ↗ · 2026-08-19

A data scientist has created a benchmark for reinforcement learning and large language models by transforming Pokelike.xyz into a game environment where AI bots can be trained and tested. The project is open-source and invites contributions to improve bot performance.

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#game-ai

WorldMind: Decoupled Game World Model for State-Aware NPC Behavior

Hugging Face Daily Papers ↗ · 2026-08-18 Cached

WorldMind introduces a decoupled framework for state-aware NPC behavior in game world models, separating world modeling into understanding, decision, control, and generation layers to enhance responsiveness.

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#game-ai

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat

arXiv cs.AI ↗ · 2026-08-03 Cached

DungeonBench is a new benchmark for evaluating tactical reasoning in Dungeons & Dragons combat, testing AI policies on rules-rich decision-making across single encounters and linked adventuring days. Frontier language models often win direct fights but struggle with resource budgeting and rest timing over longer horizons.

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#game-ai

Improving Heuristics (2015)

Lobsters Hottest ↗ · 2026-07-28 Cached

A tutorial on improving A* pathfinding heuristics using landmark-based differential techniques to reduce node exploration, with interactive demos from game maps.

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#game-ai

I built a no-code tool that learns to play any 2D game by watching you play it

Reddit r/ArtificialInteligence ↗ · 2026-07-20

DeepEpoch is a no-code desktop app that learns to play 2D games by watching users play via behavior cloning, with human-in-the-loop fine-tuning.

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#game-ai

Neural Drive, a SuperTuxKart World Model that runs in your browser

Reddit r/LocalLLaMA ↗ · 2026-07-20 Cached

Neural Drive is an action-conditioned world model for SuperTuxKart that runs entirely in the browser via WebGPU, predicting game frames from past frames and controls without a game engine.

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