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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Shang-Jing Lyu

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#large language models Open access Oct 2026

What a Grenade Is For: An Annotation Schema and a Pre-registered Human-LLM Test for Utility Lineups in Professional Counter-Strike

Grenade use in professional Counter-Strike follows community conventions written neither in the game's rules nor in its physics. We present an annotation schema for utility lineups, defined by an origin zone, a landing zone and a grenade type, and a de_dust2 lineup dataset built from 69,827 throws in 122 professional m...

Shang-Jing Lyu · 0 citations
#reinforcement learning Open access Oct 2026

Before you use it: Validating a tactical command vocabulary for multi-agent shooters

Multi-agent reinforcement learning evaluates communication by its effect on task reward, which cannot separate messages that were understood and acted on from messages that were ignored while the policy improved for other reasons. Separating them needs a verdict on the individual message, and that needs a discrete comm...

Shang-Jing Lyu · 0 citations

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