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A library of reinforcement learning components and agents. Acme is a library of reinforcement learning (RL) building blocks that strives to expose simple, efficient, and readable agents. These agents first and foremost serve both as reference implementations as well as providing strong baselines for algorithm performance. However, the baseline agents exposed by Acme should also provide enough flexibility and simplicity that they can be used as a starting block for novel research.