metadata
library_name: ml-agents
tags:
- ML-Agents-Pyramids
- ppo
- ml-agents
- reinforcement-learning
- deep-rl-course
model-index:
- name: ppo-Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 1.85 +/- 0.15
name: mean_reward
ppo-Pyramids
This is a trained model of a PPO agent playing ML-Agents-Pyramids. This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Environment:
ML-Agents-Pyramids - Algorithm:
PPO - Library:
ml-agents - Mean Reward:
1.85 +/- 0.15
Usage
To evaluate this model locally or play with it, download the model files from this repository.