Humanoid Adaptive Behavior Optimizer (HABO)
HABO is a reinforcement-driven adaptation model
that dynamically modifies humanoid behavior
based on environmental signals.
Architecture
- Context Encoder
- Behavioral Policy Network
- Reward Optimization Module
- Stability Regularization Layer
Capabilities
- Real-time behavior adaptation
- Performance-based optimization
- Environment-aware learning
- Stability-preserving updates
Training Data
han-autonomous-behavioral-adaptation-dataset-v1
Output
- Optimized behavior profile
- Adaptation intensity score
- Performance gain estimate
