Integrating Reinforcement Learning and Declarative Programming to Learn Causal Laws in Dynamic Domains.

Mohan Sridharan Sarah Rainge

Published in: ICSR (2014)

Keyphrases

reinforcement learning
declarative programming
learning agent
learning algorithm
function approximation
causal relationships
function approximators
databases
evolutionary algorithm
state space
logic programming
markov decision processes
model free
reinforcement learning algorithms