Regular games form a well-established class of games for analysis and synthesis of reactive systems. They include colored Muller games, McNaughton games, Muller games, Rabin games, and Streett games. These games are played on directed graphs $\mathcal G$ where Player 0 and Player 1 play by generating an infinite path $\rho$ through the graph. The winner is determined by specifications put on the set $X$ of vertices in $\rho$ that occur infinitely often. These games are determined, enabling the partitioning of $\mathcal G$ into two sets $Win_0$ and $Win_1$ of winning positions for Player 0 and Player 1, respectively. Numerous algorithms exist that decide instances of regular games, e.g., Muller games, by computing $Win_0$ and $Win_1$. In this paper we aim to find general principles for designing uniform algorithms that decide all regular games. For this we utilize various recursive and dynamic programming algorithms that leverage standard notions such as subgames and traps. Importantly, we show that our techniques improve or match the performances of existing algorithms for many instances of regular games.