Recently,　blockchain　has　been　widely　considered　as　a　promising　technology　to　cope　with　the　security　issues　in　Internet　of　Vehicles　(IoV).　However,　due　to　the　high　energy　consumption,　large　data　storage　and　heavy　transmission　load　of　blockchain　and　the　limited　resources　of　IoV　devices,　the　resource　management　is　urgently　to　be　studied.　In　this　paper,　we　propose　a　blockchain-based　trust　trading　platform　in　IoV　scenario　and　formulate　the　Task　Scheduling　(TS)　problem　which　selects　the　transactions　to　assemble　block　and　effects　the　utilization　of　the　wireless　resources　and　the　performance　of　blockchain　system.　The　optimization　object　is　designed　by　jointly　considering　the　characteristics　of　wireless　communications,　the　Quality　of　Service　(QoS)　and　the　implementation　process　of　blockchain.　The　DRL　algorithms　are　utilized　as　the　solutions,　and　MCQ-TS,　PG-TS,　TDQ-TS　and　TDAC-TS　algorithms　are　proposed　base　on　several　typical　DRL　methods.　The　computational　complexity　of　the　proposed　algorithms　is　analyzed　mathematically.　Additionally,　a　fair　and　comprehensive　comparison　of　the　various　proposed　DRL　methods　is　also　conducted　through　the　complexity　analysis　and　the　simulation　results.　Accordingly,　the　features　and　approriate　applied　scenarios　of　the　proposed　algorithms　are　summarized　at　last.　PG-TS　has　the　best　optimization　performance　while　MCQ-TS,　TDQ-TS　and　TDAC-TS　perform　similar.　MCQ-TS　has　the　smallest　complexity,　and　TDQ-TS　and　TDAC-TS　have　the　best　training　efficiency.　IEEE