Representation transfer via elaboration
Matthew Edmund Taylor, Peter Stone · 2007
A key component of any reinforcement learning (RL) algo-rithm is the underlying representation used by the agent for learning (e.g. the parameterization of its function approxima-tor). Transfer learning tasks typically look at speeding up a