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Found 3 papers, 1 papers with code
Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central.
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth
Communication plays a vital role in multi-agent systems, fostering collaboration and coordination.
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
Many recent successful off-policy multi-agent reinforcement learning (MARL) algorithms for cooperative partially observable environments focus on finding factorized value functions, leading to convoluted network structures.
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