SMACv2
PulseAugur coverage of SMACv2 — every cluster mentioning SMACv2 across labs, papers, and developer communities, ranked by signal.
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New metrics analyze reward attribution effects in multi-agent RL
A new research paper introduces EffRank/$n$ and $D_ ext{act}$, two metrics designed to analyze how reward attribution affects learned representations in cooperative multi-agent reinforcement learning (MARL) systems. The…
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New framework measures coordination gap in cooperative MARL systems
Researchers have developed a new framework to measure coordination structures in cooperative multi-agent reinforcement learning (MARL) systems. This framework analyzes the gap between theoretical role assignments and th…
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MARL research quantifies coordination gap between theory and learned agent roles
A new research paper explores the coordination mechanisms in cooperative multi-agent reinforcement learning (MARL) systems. The study investigates the gap between theoretical role assignments and the actual coordination…
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NonZero algorithm enhances multi-agent MCTS exploration for better coordination
Researchers have introduced NonZero, a novel approach to enhance Monte Carlo Tree Search (MCTS) in cooperative multi-agent scenarios. This method addresses the scalability issues of traditional MCTS by employing an inte…