diff --git a/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_backflip.ckpt.data-00000-of-00001 b/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_backflip.ckpt.data-00000-of-00001
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index aac769ddc..000000000
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diff --git a/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_backflip.ckpt.index b/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_backflip.ckpt.index
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diff --git a/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_walk.ckpt.data-00000-of-00001 b/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_walk.ckpt.data-00000-of-00001
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diff --git a/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_walk.ckpt.index b/examples/pybullet/gym/pybullet_data/data/policies/humanoid3d/humanoid3d_walk.ckpt.index
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diff --git a/examples/pybullet/gym/pybullet_envs/deep_mimic/DeepMimic_Optimizer.py b/examples/pybullet/gym/pybullet_envs/deep_mimic/DeepMimic_Optimizer.py
index ff4eaa79f..9aaeb2b90 100644
--- a/examples/pybullet/gym/pybullet_envs/deep_mimic/DeepMimic_Optimizer.py
+++ b/examples/pybullet/gym/pybullet_envs/deep_mimic/DeepMimic_Optimizer.py
@@ -11,7 +11,7 @@ print("parentdir=",parentdir)
 from pybullet_envs.deep_mimic.env.pybullet_deep_mimic_env  import PyBulletDeepMimicEnv
 from pybullet_envs.deep_mimic.learning.rl_world import RLWorld
 from pybullet_utils.logger import Logger
-from testrl import update_world, update_timestep, build_world
+from pybullet_envs.deep_mimic.testrl import update_world, update_timestep, build_world
 import pybullet_utils.mpi_util as MPIUtil
 
 args = []
diff --git a/examples/pybullet/gym/pybullet_envs/deep_mimic/learning/rl_agent.py b/examples/pybullet/gym/pybullet_envs/deep_mimic/learning/rl_agent.py
index 9b155326f..7deab7d79 100644
--- a/examples/pybullet/gym/pybullet_envs/deep_mimic/learning/rl_agent.py
+++ b/examples/pybullet/gym/pybullet_envs/deep_mimic/learning/rl_agent.py
@@ -161,7 +161,7 @@ class RLAgent(ABC):
         return self._enable_training
 
     def set_enable_training(self, enable):
-        print("set_enable_training!=", enable)
+        print("set_enable_training=", enable)
         self._enable_training = enable
         if (self._enable_training):
             self.reset()
@@ -593,4 +593,4 @@ class RLAgent(ABC):
         self.logger.log_tabular("Exp_Rate", self.exp_params_curr.rate)
         self.logger.log_tabular("Exp_Noise", self.exp_params_curr.noise)
         self.logger.log_tabular("Exp_Temp", self.exp_params_curr.temp)
-        return
\ No newline at end of file
+        return