|
--- |
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library_name: stable-baselines3 |
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language: |
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- en |
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tags: |
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- reinforcement learning |
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model-index: |
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- name: Lunar Lander |
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results: |
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- task: |
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type: game-play |
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metrics: |
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- type: Reward |
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value: 100 |
|
--- |
|
|
|
## Finding Theta Blog Posts: |
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- [Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)](https://www.findingtheta.com/blog/solving-gymnasiums-lunar-lander-with-deep-q-learning-dqn) |
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- [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) |