Multi-robot fire-rescue via constrained reinforcement learning

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Author: Kai Ren, Xiao Zhou
Summer project 2025 at SYCAMORE, EPFL, under the supervision of Kai Ren and Tingting Ni.
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Blue cell: survivors to be rescued.
Red cells: fire/hazard that stochastically propagates.
Green cells: exits, where the robots aim to reach after picking up survivors.

Multi-robot fire-rescue via multi-agent reinforcement learning under reach-avoid constraints and stochastic fire propagation. The robots aim to collaboratively pick up all survivors and exit the maze, while avoiding obstacles, fire, and mutual collisions.

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Multi-robot fire-rescue via constrained reinforcement learning

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