Walker2d Reflective Adaptation Policy (v1)

Model policy bipedal locomotion adaptif berbasis Critic-Guided Action Reflection untuk mengatasi actuator failure dan long-horizon numerical drift pada environment Walker2d.

Hasil Benchmark (10.000 Steps Evaluation)

  • Normal Endurance Streak: 7.432 steps (+253.44m) vs Baseline Murni (4.901 steps).
  • Fault Survival (Right Knee 100% Jammed): Bertahan 143 steps vs Baseline Murni (67 steps) — peningkatan +113%.
  • Reflective Learning Rate (Alpha): 2.0e-03
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