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Pommerman: A Multi-Agent Playground

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arxiv 1809.07124 v2 pith:U35ULIAI submitted 2018-09-19 cs.MA

Cinjon Resnick , Wes Eldridge , David Ha , Denny Britz , Jakob Foerster , Julian Togelius , Kyunghyun Cho , Joan Bruna This is my paper · ORCID
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We present Pommerman, a multi-agent environment based on the classic console game Bomberman. Pommerman consists of a set of scenarios, each having at least four players and containing both cooperative and competitive aspects. We believe that success in Pommerman will require a diverse set of tools and methods, including planning, opponent/teammate modeling, game theory, and communication, and consequently can serve well as a multi-agent benchmark. To date, we have already hosted one competition, and our next one will be featured in the NIPS 2018 competition track.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review

    cs.AI 2025-07 conditional novelty 6.0 of 10

    A survey proposing adaptability as a three-part taxonomy (learning, policy, scenario-driven) for organizing and evaluating MARL under changing conditions.

  2. MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning

    cs.AI 2025-06

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