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
Download the Environment
Evaluation results
- Cumulative Reward on hivex-ocean-plastic-collectionself-reported994.6653747558594 +/- 158.13702190020126
- Global Reward on hivex-ocean-plastic-collectionself-reported226.50474700927734 +/- 57.553598550844015
- Local Reward on hivex-ocean-plastic-collectionself-reported142.19907608032227 +/- 19.368785745326573