AI-ordlista
Den kompletta ordlistan över AI
Distributional Value Functions
Modeling value functions as full distributions rather than scalars.
Categorical DQN
Algorithm using a discrete categorical representation of the return distribution.
Quantile Regression DQN
Approach using quantile regression to directly learn the quantiles of the distribution.
Risk-Sensitive Learning
Using full distributions to model risk preferences.
Gradient de Politique Distributionnel
Extension des méthodes de gradient de politique aux approches distributionnelles.
Uncertainty Estimation
Uncertainty quantification in predictions via the return distribution.
Multi-Step Distributional RL
Extension of multi-step methods to the distributional framework for better stability.
Continuous Distributional RL
Application of distributional methods to continuous action spaces.
Distributional Actor-Critic
Combination of distributional approaches with actor-critic methods.
Distributional Model-Based RL
Integration of distributions in model-based reinforcement learning methods.
Hierarchical Distributional RL
Application of distributional concepts to hierarchical decision structures.
Transfert d'Apprentissage Distributionnel
Utilisation des distributions pour améliorer le transfert de connaissances entre tâches.