The following pages link to (Q3624166):
Displaying 17 items.
- Robust planning with incomplete domain models (Q514145) (← links)
- First-order logical filtering (Q543591) (← links)
- The well-designed logical robot: learning and experience from observations to the Situation Calculus (Q543604) (← links)
- Compact and efficient encodings for planning in factored state and action spaces with learned binarized neural network transition models (Q785238) (← links)
- Partial observability and learnability (Q991012) (← links)
- Learning to take actions (Q1289084) (← links)
- A constraint-based approach to learn temporal features on action models from multiple plans (Q2152282) (← links)
- Detect, understand, act: a neuro-symbolic hierarchical reinforcement learning framework (Q2163206) (← links)
- Learning action models with minimal observability (Q2321324) (← links)
- Learning partially observable non-deterministic action models (Q2926860) (← links)
- (Q3624139) (← links)
- Learning to act: qualitative learning of deterministic action models (Q4612408) (← links)
- (Q4636987) (← links)
- A Comprehensive Framework for Learning Declarative Action Models (Q5094057) (← links)
- Using Machine Learning for Decreasing State Uncertainty in Planning (Q5139593) (← links)
- Learning reward machines: a study in partially observable reinforcement learning (Q6080653) (← links)
- Learning to act and observe in partially observable domains (Q6612817) (← links)
