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Add `agent.pt` and tag the environment
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---
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