MLAgents-Pyramids / README.md
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Add verified Deep RL course model evaluation for Unit 5 Part 2: Unity ML-Agents (ML-Agents-Pyramids)
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---
library_name: ml-agents
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
model-index:
- name: Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 2.10 +/- 0.40
name: mean_reward
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents) for Unit 5 Part 2 of the Deep RL Course.
## Evaluation Results
- **Result**: 2.10 +/- 0.40
- **Threshold Required**: >= -100
- **Pass Status**: Passed ✅