Expand description
Advanced Policy Gradient Optimization with Meta-Gradient Learning
Implementation of cutting-edge policy gradient methods with meta-learning capabilities:
- Meta-gradient learning for automatic learning rate adaptation
- Higher-order optimization dynamics
- Meta-policy networks for learning optimization strategies
- Adaptive curriculum learning across problem classes
- Hierarchical optimization policies
Structs§
- Advanced
Advanced Policy Gradient Optimizer - Advanced Policy Gradient Optimizer with Meta-Learning
- Curriculum
Controller - Curriculum learning controller
- Learning
Metrics - Learning metrics for meta-learning
- Meta
Experience Buffer - Meta-experience buffer for higher-order learning
- Meta
Gradients - Meta-gradients for higher-order optimization
- Meta
Learning Stats - Meta-learning statistics
- Meta
Policy Network - Advanced Neural Network with Meta-Learning Capabilities
- Meta
Trajectory - Enhanced trajectory with meta-learning information
Functions§
- advanced_
advanced_ policy_ gradient_ optimize - Convenience function for advanced meta-learning policy gradient optimization
- placeholder
- policy_
gradient_ optimize - Legacy convenience function for backward compatibility