diff --git a/Dockerfile b/Dockerfile
index f7080c5b..2d31d24b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -375,8 +375,6 @@ RUN pip install flashtext && \
     pip install shap && \
     pip install ray && \
     pip install gym && \
-    # b/167268016 tensorforce 0.6.6 has an explicit dependency on tensorflow 2.3.1 which is causing a downgrade.
-    pip install tensorforce==0.5.5 && \
     pip install pyarabic && \
     pip install pandasql && \
     pip install tensorflow_hub && \
diff --git a/tests/test_tensorforce.py b/tests/test_tensorforce.py
deleted file mode 100644
index a468b27c..00000000
--- a/tests/test_tensorforce.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import unittest
-
-from tensorforce import Agent, Environment
-
-class TestTensorforce(unittest.TestCase):
-    # based on https://github.com/tensorforce/tensorforce/tree/master#quickstart-example-code.
-    def test_quickstart(self):
-        environment = Environment.create(
-            environment='gym', level='CartPole', max_episode_timesteps=500
-        )
-
-        agent = Agent.create(
-            agent='tensorforce',
-            environment=environment,  # alternatively: states, actions, (max_episode_timesteps)
-            memory=1000,
-            update=dict(unit='timesteps', batch_size=32),
-            optimizer=dict(type='adam', learning_rate=3e-4),
-            policy=dict(network='auto'),
-            objective='policy_gradient',
-            reward_estimation=dict(horizon=1)
-        )
-
-        # Train for a single episode.
-        states = environment.reset()
-        actions = agent.act(states=states)
-        states, terminal, reward = environment.execute(actions=actions)
-
-        self.assertEqual(4, len(states))
-        self.assertFalse(terminal)
-        self.assertEqual(1, reward)