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ROS Gym for Multi Agent Deep Reinforcement Learning
The UniROS framework introduces asynchronous, multi-process architectures that reduce sensor-to-action latency to median 800ms, enabling real-time coordination for tasks like multi-robot object manipulation. This aligns with the Introduction to ROS Gym section’s emphasis on bridging simulation and…
