QPLEX: Duplex Dueling Multi-Agent Q-Learning

We explore value-based multi-agent reinforcement learning (MARL) in the popular paradigm of centralized training with decentralized execution (CTDE). CTDE has an important concept, Individual-Global-Max (IGM) principle, which requires the consistency between joint and local action selections to support efficient local decision-making... (read more)

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Methods used in the Paper


METHOD TYPE
Dense Connections
Feedforward Networks
Double Q-learning
Off-Policy TD Control
Q-Learning
Off-Policy TD Control
Convolution
Convolutions
Dueling Network
Q-Learning Networks