diff --git a/src/agents/makeMDPAgentSatisfia.wppl b/src/agents/makeMDPAgentSatisfia.wppl
index 04d381f..2114e10 100644
--- a/src/agents/makeMDPAgentSatisfia.wppl
+++ b/src/agents/makeMDPAgentSatisfia.wppl
@@ -434,11 +434,15 @@ var makeMDPAgentSatisfia = function(params_, world) {
       // but the loss estimation requires an estimate of the probability of the chosen action,
       // we estimate the probability at 1 / number of actions:
       var indices = Array.from(actions.keys()),
-          propensities = map(function(index) { 
+          losses = map(function(index) {
             var action = actions[index],
                 loss = combinedLoss(state, action, aleph4state, estAlephs1[index], 1 / indices.length);  // ! bottleneck !
-            return Math.min(1e100, Math.max(Math.exp(-loss / lossTemperature), 1e-100)); 
-          }, indices);
+            return loss;
+          }, indices),
+          meanLoss = sum(losses) / indices.length,
+          propensities = map(function(loss) { 
+            return Math.min(1e100, Math.max(Math.exp(-(loss-meanLoss) / lossTemperature), 1e-100)); 
+          }, losses);
 
       if (debug) console.log(pad(state),"| localPolicyData", prettyState(state), aleph, actions, {propensities});
 
@@ -477,11 +481,15 @@ var makeMDPAgentSatisfia = function(params_, world) {
           var aleph2target = interpolate(estAleph1, 2.0, aleph4state);
           // Due to the new target aleph, we have to recompute the estimated alephs and resulting losses and propensities:
           var estAlephs2 = map(function(index) { return estAspiration4action(state, actions[index], aleph2target); }, indices),
-              propensities2 = map(function(index) { 
+              losses2 = map(function(index) {
                 var action = actions[index],
                     loss = combinedLoss(state, action, aleph4state, estAlephs2[index], 1 / indices2.length);
-                return Math.min(1e100, Math.max(Math.exp(-loss / lossTemperature), 1e-100)); 
-              }, indices2);
+                return loss;
+              }, indices2),
+              meanLoss2 = sum(losses2) / indices2.length,
+              propensities2 = map(function(loss) { 
+                return Math.min(1e100, Math.max(Math.exp(-(loss-meanLoss2) / lossTemperature), 1e-100)); 
+              }, losses2);
 
           if (debug) console.log(pad(state),"| | localPolicyData", prettyState(state), aleph4state, {a1, midTarget, estAleph1, mid1, indices2, aleph2target, estAlephs2, propensities2});