bayes estimator

#1
Let x1,x2,…,xn be a random sample from the normal distribution N(θ,σ^2), where θ has distribution N(μ,τ^2) and where σ^2, μ and τ^2 are known. Find a Bayes estimator δ of θ under the loss function
L(θ,δ)=1−exp(−(δ−θ)^2/2γ^2)
where γ is known