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# Deep Q Learning TicTacToe | TicTacToe
Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard co…
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TicTacToe has only a few thousand states, but for most applications the number of states will be more than will fit in memory. In those cases, some sort of approximation like nerual nets must be used.…
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Currently, the difficult and medium level for tic-tac-toe computer AI has the same algorithm and they are easy to beat. Add a difficult TicTacToe AI to challenge players.
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This is amazing! While the code may be long and tedious but it is still tidy and clean. I like it, and I had happened to write a tic tac toe game before, which is a really serious: https://tictactoe.j…
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12 Beginner Python Projects - by CodeCamp
https://www.youtube.com/watch?v=8ext9G7xspg
'Follow along' in your own Visual Studio
Write > Debug > Fix code
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## Recommendations
_Last analysis: Feb 09 | Next scheduled analysis: Feb 13_
### Open
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eveloper/smol_dev/main.py", line 104, in
main(prompt=prompt, generate_folder_path=args.generate_folder_path, debug=args.debug)
^^^^
NameError: name…
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Make AI prioritise winning over blocking when both players are 1 piece away from winning.
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It's almost possible to write a generic AI using the existing framework, but there are two problems:
1. There's no way to enumerate legal moves. The ability to pass arbitrary arguments to the moves…