Past　few　years　have　witnessed　the　compelling　applications　of　the　blockchain　technique　in　our　daily　life　ranging　from　the　financial　market　to　health　care.　Considering　the　integration　of　the　blockchain　technique　and　the　industrial　Internet　of　Things　(IoT),　blockchain　may　act　as　a　distributed　ledger　for　beneficially　establishing　a　decentralized　autonomous　trading　platform　for　industrial　IoT　(IIoT)　networks.　However,　the　power　and　computation　constraints　prevent　IoT　devices　from　directly　participating　in　this　proof-of-work　process.　As　a　remedy,　in　this　treatise,　the　cloud　computing　service　is　introduced　into　the　blockchain　platform　for　the　sake　of　assisting　to　offload　computational　task　from　the　IIoT　network　itself.　In　addition,　we　study　the　resource　management　and　pricing　problem　between　the　cloud　provider　and　miners.　More　explicitly,　we　model　the　interaction　between　the　cloud　provider　and　miners　as　a　Stackelberg　game,　where　the　leader,　i.e.,　cloud　provider,　makes　the　price　first,　and　then　miners　act　as　the　followers.　Moreover,　in　order　to　find　the　Nash　equilibrium　of　the　proposed　Stackelberg　game,　a　multiagent　reinforcement　learning　algorithm　is　conceived　for　searching　the　near-optimal　policy.　Finally,　extensive　simulations　are　conducted　to　evaluate　our　proposed　algorithm　in　comparison　to　some　state-of-the-art　schemes.