Magnetic resonant coupling wireless power transfer (MRC-WPT) enables convenient device-charging. When MIMO MRC-WPT system incorporated with multiple relay components, both relay <i>On-Off</i> state (i.e., <i>power routing</i> ) and TX current (i.e., <i>current scheduling</i> ) could be adjusted for improving charging efficiency and distance. Previous approaches need the collaboration and feedback from the energy receiver (RX), achieved using side-channels, e.g., Bluetooth, which is time/energy-consuming. In this work we propose, design, and implement a multi-relay MIMO MRC-WPT system, and design an almost optimum joint optimization of <i>P</i> ower <i>RO</i> uting and <i>C</i> urrent <i>S</i> cheduling method named <i>PROCS</i> , without relying on any feedback from RX. We carefully decompose the joint optimization problem into two subproblems without affecting the overall optimality of the combined solution. For current scheduling subproblem, we propose an almost-optimum RX-feedback independent solution. For power routing subproblem, we first design a greedy algorithm with <inline-formula><tex-math notation="LaTeX">$\frac{1}{2}$</tex-math></inline-formula> approximation ratio, and then design a DQN based method to further improve its effectiveness. We prototype our system and evaluate it with extensive experiments. Our results demonstrate the effectiveness of the proposed algorithms. The achieved power transfer efficiency (PTE) on average is <inline-formula><tex-math notation="LaTeX">$3.2X$</tex-math></inline-formula> , <inline-formula><tex-math notation="LaTeX">$1.43X$</tex-math></inline-formula> , <inline-formula><tex-math notation="LaTeX">$1.34X$</tex-math></inline-formula> , and <inline-formula><tex-math notation="LaTeX">$7.3X$</tex-math></inline-formula> over the other four strategies: Without relay, with non-adjustable relays, greed based, and shortest-path based ones.