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MattStammers
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appo-atari_alien

Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
Eval Results (legacy)
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@@ -36,7 +36,7 @@ python -m sample_factory.huggingface.load_from_hub -r MattStammers/APPO-atari_al
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  ## About the Model
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- This model as with all the others in the benchmarks was trained asynchronously un-seeded to 10 million steps for the purposes of setting a sample factory async baseline for this model on this environment.
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  The aim is to reach state of the art (SOTA) performance on each atari environment. I will flag the models with SOTA when they reach at or near these levels.
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  ## About the Model
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+ This model as with all the others in the benchmarks was initially trained asynchronously un-seeded to 10 million steps for the purposes of setting a sample factory async baseline for this model on this environment.
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  The aim is to reach state of the art (SOTA) performance on each atari environment. I will flag the models with SOTA when they reach at or near these levels.
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