• Automatic Task Decomposition and State Abstraction from Demonstration 

      Cobo, Luis C.; Isbell, Charles L., Jr.; Thomaz, Andrea L. (Georgia Institute of TechnologyInternational Foundation for Autonomous Agents and Multiagent Systems, 2012-06)
      Both Learning from Demonstration (LfD) and Reinforcement Learning (RL) are popular approaches for building decision-making agents. LfD applies supervised learning to a set of human demonstrations to infer and imitate the ...
    • Human-like Action Segmentation for Option Learning 

      Shim, Jaeeun; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2011)
      Robots learning interactively with a human partner has several open questions, one of which is increasing the efficiency of learning. One approach to this problem in the Reinforcement Learning domain is to use options, ...
    • Object Focused Q-Learning for Autonomous Agents 

      Cobo, Luis C.; Isbell, Charles L., Jr.; Thomaz, Andrea L. (Georgia Institute of TechnologyACM Press, 2013)
      We present Object Focused Q-learning (OF-Q), a novel reinforcement learning algorithm that can offer exponential speed-ups over classic Q-learning on domains composed of independent objects. An OF-Q agent treats the state ...