This model serves as the baseline for the Ocean Plastic Collection environment, trained and tested on task 1 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Ocean Plastic Collection
Task: 1
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
    994.6653747558594 +/- 158.13702190020126
  • Global Reward on hivex-ocean-plastic-collection
    self-reported
    226.50474700927734 +/- 57.553598550844015
  • Local Reward on hivex-ocean-plastic-collection
    self-reported
    142.19907608032227 +/- 19.368785745326573