Improving Action Selection in MDP's via Knowledge Transfer

  title={Improving Action Selection in MDP's via Knowledge Transfer},
  author={Alexander A. Sherstov and Peter Stone},
Temporal-difference reinforcement learning (RL) has been successfully applied in several domains with large statesets. Largeaction sets, however, have received considerably less attention. This paper demonstrates the use of knowledge transfer between related tasks to accelerate learning with large action sets. We introduce action transfer , a technique that extracts the actions from the (near-)optimal solution to the first task and uses them in place of the full action set when learning any… CONTINUE READING
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