Traffic　signal　coordination　control　for　two　adjacent　intersections　was　studied　by　hybrid　Q-learning　and　game　theory.　Based　on　the　general　Q-learning　algorithm,　the　game　theory　was　introduced　and　the　payoff　function　of　Q-values　was　used　to　build　the　payoff　matrix.　The　problem　of　coordination　control　for　two　adjacent　intersections　is　two-player　Non-zero-sum　cooperative　game　in　Game　theory.　From　Nash　Negotiation　solution　by　Nash　Theorem,　the　result　of　the　game　which　was　the　basis　for　making　decision　of　Q-learning　was　obtained.　Furthermore,　coordination　control　for　two　adjacent　intersections　based　on　Q-learning　and　game　theory　was　realized　and　illustrated　by　Paramics　simulation　software.　The　validity　of　this　method　is　proved.