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chip placement as a reinforcement learning (RL) problem, where we train an agent (i.e, an RL policy) to optimize the quality of chip placements.
Source - https://ai.googleblog.com/2020/04/chip-design-with-deep-reinforcement.html?m=1
Source - https://ai.googleblog.com/2020/04/chip-design-with-deep-reinforcement.html?m=1