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My understanding is that you are first training a policy network using imitation learning. Then you are adjusting that trained network in some way to be a value network for DQN. The most obvious change would be to remove softmax activation whilst keeping the network layer sizes identical. This would then present Q estimates for all actions from any given ...


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it was "just given the rulebook", what does this mean? Literally a book written in English to read? The program was not given a natural language version of the rules to interpret. That might be an interesting AI challenge in its own way, but none of the current cutting-edge game playing reinforcement learning systems do much in the way of natural ...


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