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
Download the Environment
Evaluation results
- Cumulative Reward on hivex-ocean-plastic-collectionself-reported868.6791931152344 +/- 177.8582676854445
- Global Reward on hivex-ocean-plastic-collectionself-reported294.7176452636719 +/- 58.7408861442478
- Local Reward on hivex-ocean-plastic-collectionself-reported165.2141372680664 +/- 20.43658256777414