Multi-Agent Proximal Policy Optimization
A multi-agent reinforcement learning framework using centralized training with decentralized execution (CTDE) to optimize policies.
Source: Market Informedness and Market-Maker Profitability: The Trade-Off Between Adverse Selection and Price Discovery (Academic research) · p.13
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