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  pipeline_tag: reinforcement-learning
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  ---
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- # LunarLander — 394 params, 100% landings
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- A tiny neural network (394 parameters) that solves LunarLander-v2.
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  Weights: **1.5 KB**.
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  ## Demo
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  <video src="https://huggingface.co/Dimitrius174/lunar-lander-394-params/resolve/main/videos/lunar_lander_394_all.mp4" controls width="600"></video>
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  ## Architecture
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- ```python
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- class TinyNN(torch.nn.Module):
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- def __init__(self):
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- super().__init__()
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- self.enc = torch.nn.Linear(8, 30)
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- self.cls = torch.nn.Linear(30, 4)
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- def forward(self, x):
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- return self.cls(torch.relu(self.enc(x)))
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- ```
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  Params: 8x30 + 30 + 30x4 + 4 = **394**
 
 
 
 
 
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  pipeline_tag: reinforcement-learning
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  ---
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+ # LunarLander — 394 params, 95% full landings
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+ A tiny neural network (394 parameters) solving LunarLander-v2.
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  Weights: **1.5 KB**.
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+ ## Performance
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+
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+ | Metric | Value |
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+ |--------|-------|
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+ | Params | 394 |
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+ | Full landings (reward >= 200) | **95/100** |
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+ | Average reward | **258.8** |
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+ | Median reward | **265.8** |
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+ | Best reward | **310.9** |
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+ | Crashes (reward < 100) | 3/100 |
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+ | Weights size | 1.5 KB |
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+
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  ## Demo
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  <video src="https://huggingface.co/Dimitrius174/lunar-lander-394-params/resolve/main/videos/lunar_lander_394_all.mp4" controls width="600"></video>
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  ## Architecture
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+
 
 
 
 
 
 
 
 
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  Params: 8x30 + 30 + 30x4 + 4 = **394**
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+
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+ ## Usage
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+
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+