Smart　lighting　systems　play　a　more　and　more　important　role　in　people＇s　work　and　life,　since　efficient　adaptive　and　energy-saving　lighting　control　is　a　necessary　way　to　improve　people＇s　quality　of　life　and　create　an　economical,　comfortable,　and　environmentally　friendly　lighting　environment.　To　improve　the　energy　consumption　in　an　indoor　environment　and　satisfy　body　comfort,　this　paper　proposes　an　adaptive　and　energy-saving　smart　lighting　control　algorithm　based　on　a　Deep　Q-Network　algorithm　(DQN),　wherein　the　light　number,　illuminance　and　body　comfort　are　considered.　The　proposed　algorithm　has　some　research　in　other　fields,　but　no　one　has　used　it　in　smart　lighting　control　yet,　and　few　people　consider　body　comfort　in　the　existing　energysaving　control　research　of　smart　lighting.　The　simulation　results　show　that　the　proposed　DQN　based　control　algorithm　can　save　power　up　to　62%　without　body　comfort　loss,　compared　to　the　traditional　lighting　system.　Further,　there　is　no　additional　delay　under　the　proposed　control　algorithm.　©　2021　IEEE.