lstm runs with coma

ml-agents/mlagents/trainers/coma/optimizer_torch.py

             all_value_tensors,
             all_baseline_tensors,
             all_next_value_mem,
-            next_value_mem,
+            next_value_mem,
             next_baseline_mem,
         )
 
         )
 
         next_value_estimates, _ = self.critic.critic_pass(
-            all_next_obs, next_value_mem, sequence_length=batch.num_experiences
+            all_next_obs, next_value_mem, sequence_length=1
         )
 
         for name, estimate in baseline_estimates.items():