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Add `agent.pt` and tag the environment
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metadata
library_name: sample-factory
tags:
  - deep-reinforcement-learning
  - reinforcement-learning
  - sample-factory
  - SeaquestNoFrameskip-v4
model-index:
  - name: APPO
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: atari_seaquest
          type: atari_seaquest
        metrics:
          - type: mean_reward
            value: 2371.00 +/- 462.41
            name: mean_reward
            verified: false

A(n) APPO model trained on the atari_seaquest environment. This model was trained using Sample Factory 2.0: https://github.com/alex-petrenko/sample-factory