fixing flataction discriminator to convert to float beforehand, adding necessary forward calls in expert, adding Fire to video creator from model, and trying full run of options gail with new discrimination model

scratch/etienne/intersimple/data/expert.py

@@ -79,6 +79,12 @@ class DummyVecEnvPolicy(BasePolicy):
         actions = [p[0] for p in predictions]
         states = [p[1] for p in predictions]
         return actions, states
+    
+    def forward(self, *args, **kwargs):
+        raise NotImplementedError()
+
+    def _predict(self, *args, **kwargs):
+        raise NotImplementedError()
 
 def save_video(env, expert):
     env.reset()