AIBearisharXiv – CS AI · 6h ago7/10
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Failure Modes of Deep Multi-Agent RL in Asynchronous Pricing: Reproducible Triggers, Trace Diagnostics, and a Partial Fix
Researchers identify two critical failure modes in deep multi-agent reinforcement learning applied to continuous pricing markets: tacit collusion between DDPG agents and actor-critic instability at high event rates. While asynchronous pricing and latency reduce collusion by up to 48%, the fix remains partial and breaks down under high-frequency conditions, revealing fundamental limitations in current MARL approaches for market simulation.