README.md

---
library_name: stable-baselines3
language:
- en
tags:
- reinforcement learning
model-index:
- name: Lunar Lander
  results:
  - task:
      type: game-play             # Required. Example: automatic-speech-recognition
    metrics:
      - type: Reward         # Required. Example: wer. Use metric id from https://hf.co/metrics
        value: 100
---

## Finding Theta Blog Posts: 
- [Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)](https://www.findingtheta.com/blog/solving-gymnasiums-lunar-lander-with-deep-q-learning-dqn)
- [Comparing how PPO, SAC, and DQN Perform on Gymnasium's Lunar Lander](https://www.findingtheta.com/blog/comparing-how-ppo-sac-and-dqn-perform-on-gymnasiums-lunar-lander)