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provides a description of the implementation.
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Learning Algorithm
- The report clearly describes the learning algorithm, along with the chosen hyperparameters. It also describes the model architectures for any neural networks.
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Plot of Rewards
- A plot of rewards per episode is included to illustrate that the agents get an average score of +0.5 (over 100 consecutive episodes, after taking the maximum over both agents).
- The submission reports the number of episodes needed to solve the environment.
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Ideas for Future Work
- The submission has concrete future ideas for improving the agent's performance.