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== <span style="color: #FFFFFF;">Creating</span> == Designing a MARL system for warehouse robot coordination: (1) Define agents: each robot is an independent agent. (2) Observation: each robot observes its own position, nearest shelves, other robots within sensing radius. (3) Action: move to adjacent cell, pick item, place item, wait. (4) Reward: shared team throughput (items delivered per minute). (5) Training: CTDE with MAPPO β global observation for critic, local observation for actor. (6) Communication: allow robots to broadcast intended next position to prevent collisions. (7) Evaluation: test on held-out warehouse configurations; measure throughput vs. rule-based baseline. [[Category:Artificial Intelligence]] [[Category:Reinforcement Learning]] [[Category:Multi-Agent Systems]] </div>
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