diff --git a/setup.py b/setup.py
index 16116a784..f99f00553 100644
--- a/setup.py
+++ b/setup.py
@@ -26,8 +26,8 @@
         'psutil',
         'scipy',
         'seaborn==0.8.1',
-        'tensorflow>=1.8.0,<2.0',
-        'torch==1.3.1',
+        'tensorflow>=1.8.0,<3.0',
+        'torch==1.13.1',
         'tqdm'
     ],
     description="Teaching tools for introducing people to deep RL.",
diff --git a/spinup/utils/mpi_tf.py b/spinup/utils/mpi_tf.py
index 96cbcf5e0..3c0bb7b8e 100644
--- a/spinup/utils/mpi_tf.py
+++ b/spinup/utils/mpi_tf.py
@@ -26,7 +26,7 @@ def sync_all_params():
     return sync_params(tf.global_variables())
 
 
-class MpiAdamOptimizer(tf.train.AdamOptimizer):
+class MpiAdamOptimizer(tf.compat.v1.train.AdamOptimizer):
     """
     Adam optimizer that averages gradients across MPI processes.
 
@@ -40,7 +40,7 @@ class MpiAdamOptimizer(tf.train.AdamOptimizer):
 
     def __init__(self, **kwargs):
         self.comm = MPI.COMM_WORLD
-        tf.train.AdamOptimizer.__init__(self, **kwargs)
+        tf.compat.v1.train.AdamOptimizer.__init__(self, **kwargs)
 
     def compute_gradients(self, loss, var_list, **kwargs):
         """
@@ -75,4 +75,4 @@ def apply_gradients(self, grads_and_vars, global_step=None, name=None):
         opt = super().apply_gradients(grads_and_vars, global_step, name)
         with tf.control_dependencies([opt]):
             sync = sync_params([v for g,v in grads_and_vars])
-        return tf.group([opt, sync])
\ No newline at end of file
+        return tf.group([opt, sync])