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This paper presents a cross-sectional study comparing various action factorization methods (independent networks, shared encoder, VDN, QPLEX, Joint, Auto-Regressive) across three RL algorithm families (PPO, SAC, DQN) in hybrid discrete-continuous action spaces, introducing two new lightweight environments and variants VDN-PPO and PPO-MIX.