A Projective Simulation Scheme for Partially-Observable Multi-Agent   Systems
  We introduce a kind of partial observability to the projective simulation (PS) learning method. It is done by adding a belief projection operator and an observability parameter to the original framework of the efficiency of the PS model. I provide theoretical formulations, network representations, and situated scenarios derived from the invasion toy problem as a starting point for some multi-agent PS models. 
Rasoul Kheiri
cs.AI quant-ph