The following pages link to Relational reinforcement learning (Q5945708):
Displaying 35 items.
- A synthesis of automated planning and reinforcement learning for efficient, robust decision-making (Q334800) (← links)
- ILP turns 20. Biography and future challenges (Q439010) (← links)
- Integrating guidance into relational reinforcement learning (Q702530) (← links)
- The factored policy-gradient planner (Q835832) (← links)
- Practical solution techniques for first-order MDPs (Q835833) (← links)
- Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited (Q894695) (← links)
- Algebraic results and bottom-up algorithm for policies generalization in reinforcement learning using concept lattices (Q1003553) (← links)
- Structured machine learning: the next ten years (Q1009285) (← links)
- Reflective relational machines (Q1271557) (← links)
- Planning in hybrid relational MDPs (Q1699911) (← links)
- Preference-based reinforcement learning: a formal framework and a policy iteration algorithm (Q1945130) (← links)
- Beneficial and harmful explanatory machine learning (Q2051274) (← links)
- Interpretable machine learning: fundamental principles and 10 grand challenges (Q2074414) (← links)
- Lifted model checking for relational MDPs (Q2102421) (← links)
- Inductive general game playing (Q2203324) (← links)
- Making sense of sensory input (Q2238610) (← links)
- Making sense of raw input (Q2238697) (← links)
- Learning from interpretation transition (Q2251449) (← links)
- Relational reinforcement learning with guided demonstrations (Q2407440) (← links)
- Learning goal hierarchies from structured observations and expert annotations (Q2433176) (← links)
- Graph kernels and Gaussian processes for relational reinforcement learning (Q2433177) (← links)
- Algebraic Reinforcement Learning (Q2945728) (← links)
- Relational Reinforcement Learning Applied to Appearance-Based Object Recognition (Q3405761) (← links)
- (Q3629331) (← links)
- (Q4636987) (← links)
- A Comprehensive Framework for Learning Declarative Action Models (Q5094057) (← links)
- Logics in Artificial Intelligence (Q5394134) (← links)
- Relational Sequence Learning (Q5452021) (← links)
- Building Relational World Models for Reinforcement Learning (Q5452098) (← links)
- Inductive Logic Programming (Q5494325) (← links)
- Induction and Exploitation of Subgoal Automata for Reinforcement Learning (Q5856492) (← links)
- Inductive Logic Programming (Q5897180) (← links)
- Inverse reinforcement learning through logic constraint inference (Q6134331) (← links)
- From Reinforcement Learning to Deep Reinforcement Learning: An Overview (Q6162303) (← links)
- Transferable dynamics models for efficient object-oriented reinforcement learning (Q6494370) (← links)
