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4

For anyone wondering, I believe to have found the answer: Yes, it will be an 8x8 plane where all the entries are the same, the number of moves (or mpves with no progress). There are two repetitions planes (for each position from the most recent T=8 positions): a) The first repetition plane will be a plane where all the entries are 1's if the position is ...


2

I am not an expert in RL. I have been playing Go for some years. Let's quote from AlphaZero's paper first: Aside from komi, the rules of Go are also invariant to colour transposition; this knowledge is exploited by representing the board from the perspective of the current player (see Neural network architecture). In the Game of Go, the difference between ...


2

Let's do the code, so all the details are down. Encoding dictionary: codes, i = {}, 0 for nSquares in range(1,8): for direction in ["N", "NE", "E", "SE", "S", "SW", "W", "NW"]: codes[(nSquares,direction)] = i i += 1 You'll see that the codes dictionary will ...


1

According to Table S3 of the AlphaZero paper (p. 15) AlphaZero was trained for 9 hours and, during these 9 hours, it played 44 million games of chess. According to this Wikipedia article, the longest human lifespan is that of Jeanne Calment, who lived to age 122 years and 164 days. Let's assume that humans cannot live more than 123 years (which is a ...


1

"Will a neural network adapt to that ?" No. The big functional difference between human mind and neural networks : human mind learns by itself, a NN not. If we call NN the net with its layers, weights, ... this is a static system, unable to learn anything new. The back-propagation algorithm that made intelligent the NN runs outside the NN itself, ...


1

The behaviour when playing against "cheats" depends on how the agent has been trained, and how different the game becomes from the training scenarios. It will also depend on how much of the agent's behaviour is driven by training, and how much by just-in-time planning. In general, unless game playing bots are written specifically to detect or cope ...


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