arXiv:2209.04911
Keke AI Competition: Solving puzzle levels in a dynamically changing mechanic space
원문 초록
The Keke AI Competition introduces an artificial agent competition for the game Baba is You - a Sokoban-like puzzle game where players can create rules that influence the mechanics of the game. Altering a rule can cause temporary or permanent effects for the rest of the level that could be part of the solution space. The nature of these dynamic rules and the deterministic aspect of the game creates a challenge for AI to adapt to a variety of mechanic combinations in order to solve a level. This paper describes the framework and evaluation metrics used to rank submitted agents and baseline results from sample tree search agents.
함께 살펴볼 논문
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Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks
MageBench: Bridging Large Multimodal Models to Agents
Planning in a recurrent neural network that plays Sokoban
A Training Data Recipe to Accelerate A* Search with Language Models
3D Building Generation in Minecraft via Large Language Models
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
토론
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