Allow MDPs to use continuous distributions as rewards in Simulation
Currently, the following MDP is not allowed: const real P0; const real P1; const int maxsteps = 1000; transient real reward; transient int step; property P_MaxReward = Xmax(S(reward), (step >= maxsteps)); do { :: Arm(P0) :: Arm(P1) } process Arm(real mean) { {= step = 1, reward = Normal(mean, 1.0) =} } Since MDPs are discrete and cannot use continuous distributions. However, since it is only used for the reward, it should be possible to allow this.
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