Distributed Deep Reinforcement Learning (DDRL)

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• Deep Reinforcement Learning (DRL)
• Importance Weighted Actor-Learner Architectures: Scalable Distributed DeepRL in DMLab-30

Deep Reinforcement Learning (DeepRL) has achieved remarkable success in a range of tasks, from continuous control problems in robotics to playing games like Go and Atari. The improvements seen in these domains have so far been limited to individual tasks where a separate agent has been tuned and trained for each task.