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Dimitrius174
/
lunarlander-lin32
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0
Reinforcement Learning
PyTorch
Safetensors
tiny-lunar-policy
lunarlander
gymnasium
tiny-model
linear-policy
model-compression
custom_code
License:
mit
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lunarlander-lin32
25.9 kB
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7 commits
Dimitrius174
Add out-of-sample check on fresh seeds: max-safety reproduces 231.4 mean / 0.17% crashes; history variants Pareto-dominate the teacher
5718f62
verified
2 days ago
.gitattributes
Safe
1.52 kB
initial commit
3 days ago
LICENSE
Safe
1.08 kB
32-parameter linear LunarLander-v3 policy (mean 247.2, 60/60 seeds)
3 days ago
README.md
8.62 kB
Add out-of-sample check on fresh seeds: max-safety reproduces 231.4 mean / 0.17% crashes; history variants Pareto-dominate the teacher
2 days ago
centroid_safe.npy
pickle
Pickle imports
No problematic imports detected
What is a pickle import?
256 Bytes
xet
Replace with max-safety weights (start 1 of the 6-run frontier): mean 231.2, landings 99.67%, crashes 0.25% - 23x fewer crashes than the teacher
2 days ago
config.json
858 Bytes
Replace with max-safety weights (start 1 of the 6-run frontier): mean 231.2, landings 99.67%, crashes 0.25% - 23x fewer crashes than the teacher
2 days ago
configuration_tiny.py
448 Bytes
32-parameter linear LunarLander-v3 policy (mean 247.2, 60/60 seeds)
3 days ago
export_weights.py
1.33 kB
32-parameter linear LunarLander-v3 policy (mean 247.2, 60/60 seeds)
3 days ago
landing_check.py
2.8 kB
Define landing rate precisely (env +100 verdict) + landing_check.py
3 days ago
model.py
3.6 kB
Replace with max-safety weights (start 1 of the 6-run frontier): mean 231.2, landings 99.67%, crashes 0.25% - 23x fewer crashes than the teacher
2 days ago
model.safetensors
208 Bytes
xet
Replace with max-safety weights (start 1 of the 6-run frontier): mean 231.2, landings 99.67%, crashes 0.25% - 23x fewer crashes than the teacher
2 days ago
modeling_tiny.py
1.25 kB
32-parameter linear LunarLander-v3 policy (mean 247.2, 60/60 seeds)
3 days ago
requirements.txt
227 Bytes
32-parameter linear LunarLander-v3 policy (mean 247.2, 60/60 seeds)
3 days ago
verify.py
3.71 kB
Replace with max-safety weights (start 1 of the 6-run frontier): mean 231.2, landings 99.67%, crashes 0.25% - 23x fewer crashes than the teacher
2 days ago