Automated Gaming Pommerman: FFA
Ms. Navya Singh, Anshul Dhull, Barath Mohan.S, Bhavish Pahwa, Ms., Komal Sharma
TL;DR
This paper introduces an automated system for playing Pommerman, a multi-agent game inspired by Bomberman, focusing on developing agents capable of handling diverse game situations.
Contribution
The paper presents a novel automated approach for Pommerman, addressing multi-agent coordination and decision-making in complex game environments.
Findings
Agents successfully navigate diverse game scenarios
Improved strategies for multi-agent cooperation
Enhanced performance over baseline methods
Abstract
Our game Pommerman is based on the console game Bommerman. The game starts on an 11 by 11 platform. Pommerman is a multi-agent environment and is made up of a set of different situations and contains four agents.
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Taxonomy
TopicsReinforcement Learning in Robotics · Artificial Intelligence in Games · Robotic Path Planning Algorithms