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hivex-research
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hivex-OPC-PPO-baseline-task-3

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-ocean-plastic-collection
multi-agent-reinforcement-learning
Eval Results
Model card Files
xet
Metrics Community

This model serves as the baseline for the Ocean Plastic Collection environment, trained and tested on task 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Ocean Plastic Collection
Task: 3
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
    -2.0388235569000246 +/- 1.647487721687271
  • Global Reward on hivex-ocean-plastic-collection
    self-reported
    0.0 +/- 0.0
  • Local Reward on hivex-ocean-plastic-collection
    self-reported
    -2.854285717010498 +/- 1.1865717722656555
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