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Multi-agent LLM team won the Pokémon 2v2 match

A researcher built a multi-agent environment on Pokémon Showdown's 2v2 format to test LLM collaboration and negotiation. Unlike previous benchmarks using single agents, this setup requires teams to coordinate actions and split targets to win.

Field
applying language models
What they did
The author built a Pokémon game environment where two teams of two bots control their own AI to test how language models coordinate and negotiate actions with each other.
Why it matters
This will help understand how well agents can work as a team, since the game hides information about opponents and has random damage, requiring strategy and communication to win.
#llm agents#reinforcement learning#multi-agent coordination#pokemon showdown

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