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Building a Chess Agent using DQN
- The author shares their experience of implementing a DQN-based Chess Agent.
- They familiarized themselves with the chess environment and created a custom wrapper.
- The FEN format was converted into a matrix representation for input to a neural network.
- A replay buffer, auxiliary functions, and a neural network structure were implemented.
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