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Dataset · Hugging Face

privateboss/SnakeAI_TF_PPO_V0

Action mask has been implemented, the model has been updated to support 'Training Resumption' after system disruption. Utilizing the same training parameters as the "Full Reinforcement learning Agent", this agent prioritizes survival over rewards. It's playtime for 100 games is 6hrs, compared to 2hrs for the FRLA. This demonstrates the agent is adapting for survival, but not to the desired goal of higher scores/reward. #10000000 training timesteps. Training Hyperparameters is the same as the… See the full description on the dataset page: https://huggingface.co/datasets/privateboss/SnakeAI_TF_P

Author / organizationprivateboss
License (as declared)mit
Downloads201 (as reported by Hugging Face)
Likes0
Created19 July 2025
Last updated at source20 July 2025
games
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