Cognitive Science > Relational Reinforcement Learning

Overview

1. Relational Reinforcement Learning
2. Graph kernels and Gaussian processes for relational reinforcement learning
3. Learning Symbolic Models of Stochastic Domains
4. Online learning and exploiting relational models in reinforcement learning
5. FluCaP: a heuristic search planner for first-order mdps
6. Bellman goes relational
7. Relational reinforcement learning via sampling the space of first-order conjunctive features
8. Symbolic learning for adaptive agents
9. Combining reinforcement learning with symbolic planning
10. Game-theoretic agent programming in Golog

Presentation

FluCaP: A Heuristic Search Planner for Markov Decision Processes