Fix bug in multi action ppo

src/algorithms/policy_gradient/ppo.jl

@@ -267,11 +267,11 @@ function _update!(p::PPOPolicy, t::AbstractTrajectory)
                 if AC.actor isa GaussianNetwork
                     μ, σ = AC.actor(s)
                     if ndims(a) == 2
-                        log_p′ₐ = sum(normlogpdf(μ, σ, a), dims = 1)
+                        log_p′ₐ = vec(sum(normlogpdf(μ, σ, a), dims = 1))
                     else
                         log_p′ₐ = normlogpdf(μ, σ, a)
                     end
-                    entropy_loss = mean((log(2.0f0π) + 1) / 2 .+ sum(log.(σ), dims = 1))
+                    entropy_loss = mean(size(σ, 1) * (log(2.0f0π) + 1) .+ sum(log.(σ), dims = 1)) / 2
                 else
                     # actor is assumed to return discrete logits
                     logit′ = AC.actor(s)
@@ -280,7 +280,6 @@ function _update!(p::PPOPolicy, t::AbstractTrajectory)
                     log_p′ₐ = log_p′[CartesianIndex.(a, 1:length(a))]
                     entropy_loss = -sum(p′ .* log_p′) * 1 // size(p′, 2)
                 end
-
                 ratio = exp.(log_p′ₐ .- log_p)
                 surr1 = ratio .* adv
                 surr2 = clamp.(ratio, 1.0f0 - clip_range, 1.0f0 + clip_range) .* adv