Downloads · 30 days
0
walker2d-selflearned-v2
rijal028/walker2d-selflearned-v2
walker2d-selflearned-v2 is a reinforcement learning model from rijal028. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
Model policy bipedal locomotion adaptif permanen (Model v2) yang telah mengonsolidasikan pengalaman actuator failure langsung ke dalam bobot feedforward neural network menggunakan World-Model Discrepancy Guidance & Op…
Access
Public
Updated Aug 23, 2026
Repo size
298 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt298 KB · 99%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- 4deac08f
Model card
From the Hugging Face model README
Walker2d Self-Learned Adaptation Policy (v2)
Model policy bipedal locomotion adaptif permanen (Model v2) yang telah mengonsolidasikan pengalaman actuator failure langsung ke dalam bobot feedforward neural network menggunakan World-Model Discrepancy Guidance & Optimal LR ($3.0\times 10^{-5}$).
Hasil Komparasi Retensi (Episode 2 / Zero Trigger Retest)
- Total Steps: 515 steps (vs Baseline 445 steps) — +70 steps
- Fault Survival (Right Knee Jammed): 216 steps (vs Baseline 146 steps) — Peningkatan +47.9%
- Distance: +9.504 m
- Retention State: 100% Mengingat pola pemulihan tanpa trigger eksternal ulang.
- Task
- Reinforcement Learning
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026