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This model serves as the baseline for the Ocean Plastic Collection environment, trained and tested on task 0 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Ocean Plastic Collection
Task: 0
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
    823.2983947753906 +/- 197.42713024318527
  • Global Reward on hivex-ocean-plastic-collection
    self-reported
    285.8913818359375 +/- 84.43798423128938
  • Local Reward on hivex-ocean-plastic-collection
    self-reported
    158.69510040283203 +/- 32.16273712262643