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A New Complexity Scorecard for Game World Models

A New Complexity Scorecard for Game World Models

The paper proposes Transition Complexity Profile (TCP), a reproducible framework for measuring how difficult game-world transition prediction is at a specified interface. It evaluates branching, interaction-driven uncertainty, opponent influence, and temporal or spatial dependencies to improve comparisons across game-modeling and reinforcement-learning benchmarks.

ArXiv AIResearch17h ago#game-world-modeling#benchmarking
Transfer More Knowledge with Less Multilingual Data

Transfer More Knowledge with Less Multilingual Data

Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.

Apple Machine LearningOfficial21h ago#multilingual-models
AgentCore Automates Cloud Migration

AgentCore Automates Cloud Migration

AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.

AWS Machine Learning BlogOfficial5h ago#cloud-migration#multi-agent#automation
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