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MAPPO
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Timeline

MAPPO2026-03-19

Benchmark study shows MAPPO achieves highest, most stable profits in multi-agent RL for dynamic pricing

Multi-Agent Reinforcement Learning2026-03-16

Theoretical breakthrough establishing quasi-polynomial time bounds for partially observable multi-agent systems

Multi-Agent Reinforcement Learning2026-03-06

New MARL framework introduced for competitive pricing and fleet rebalancing in mobility markets

Evidence (1 articles)

MAPPO vs Multi-Agent Reinforcement Learning — AI Comparison 2026 | gentic.news