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[RL-baseline] Model v5 #42
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…sode, successful training)
…-wo-rl into RL-baseline-new-model Trying to solve conflicts
…ing with other branches
…ard references for ease of use
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The policy network for model v5 is completely redesigned. It features 6 convolutional layers rather than 3, and it drops the pooling layers because the convolutions already take care of reducing the dimensionality of the input. It also features 2 fully connected layers right after the convolutions, and both the actor head and critic head feature 2 fully connected layers as well.
This model is based on the model featured in this example . This code is meant for PPO, but since it managed to train successfully without significantly modifying the environment state, we took it as a base to see how it would work for REINFORCE with Baseline.