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hivex-DBR-PPO-baseline-task-1-difficulty-10

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-drone-based-reforestation
multi-agent-reinforcement-learning
Eval Results
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This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 1 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 1
Difficulty: 10
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000

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Evaluation results

  • Out of Energy Count on hivex-drone-based-reforestation
    self-reported
    0.008128349967300892 +/- 0.010082435602945609
  • Cumulative Reward on hivex-drone-based-reforestation
    self-reported
    98.6292739868164 +/- 1.1496099717544022
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