Autonomous reinforcement learning policy and value network (~9.65M parameters) for Pokémon Showdown Gen 9 Random Battles. - Embedding Dimension (dmodel): 256 - Feed-Forward Dimension (dff): 1024 - Value Head (Scalar valuation in [-1, 1]) - Opponent Prediction Head (Simultaneous action prediction) - checkpointlatest.pkl: Model parameters trained via PPO self-play and benchmark sparring. - metrics.json: Latest training metrics, update count, and turn counters.
Independent publisher
Turbo
TurboRx
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Reinforcement learning.
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