This model serves as the baseline for the Ocean Plastic Collection environment, trained and tested on task 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Ocean Plastic Collection
Task: 2
Algorithm: PPO
Episode Length: 5000
Training max_steps: 3000000
Testing max_steps: 150000

Train & Test Scripts
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Evaluation results

  • Cumulative Reward on hivex-ocean-plastic-collection
    self-reported
    868.6791931152344 +/- 177.8582676854445
  • Global Reward on hivex-ocean-plastic-collection
    self-reported
    294.7176452636719 +/- 58.7408861442478
  • Local Reward on hivex-ocean-plastic-collection
    self-reported
    165.2141372680664 +/- 20.43658256777414