agent incorporates both operator subgoaling/means ends analysis with reinforcement learning. All search control knowledge (operator evaluation rules) are removed from blocks-world-operator-subgoaling and instead there are RL rules supplemented with rules to compute reward, both in the top state and the substate. Implemented for four blocks.

Soar capabilities
  • Subgoaling with means-ends analysis
  • Reinforcement learning
Download LinksExternal Environment
  • None.
Default Rules
  • None.
Associated PublicationsDeveloper
  • John Laird
Soar Versions
  • Soar 8,9
Project Type
  • VisualSoar