diff --git a/release/release_tests.yaml b/release/release_tests.yaml
index 36320e7ea8a3a..3cb3f154c2734 100644
--- a/release/release_tests.yaml
+++ b/release/release_tests.yaml
@@ -4190,7 +4190,7 @@
   team: rllib
   cluster:
     cluster_env: app_config.yaml
-    cluster_compute: 1gpu_16cpus.yaml
+    cluster_compute: 1gpu_32cpus.yaml
 
   run:
     timeout: 18000
diff --git a/release/rllib_tests/1gpu_32cpus.yaml b/release/rllib_tests/1gpu_32cpus.yaml
new file mode 100644
index 0000000000000..660791a6cc2f0
--- /dev/null
+++ b/release/rllib_tests/1gpu_32cpus.yaml
@@ -0,0 +1,17 @@
+cloud_id: {{env["ANYSCALE_CLOUD_ID"]}}
+region: us-west-2
+
+max_workers: 0
+
+head_node_type:
+    name: head_node
+    instance_type: g5.8xlarge
+
+worker_node_types: []
+
+aws:
+    BlockDeviceMappings:
+        - DeviceName: /dev/sda1
+          Ebs:
+            DeleteOnTermination: true
+            VolumeSize: 500
\ No newline at end of file
diff --git a/release/rllib_tests/multi_node_checkpointing_compute_config.yaml b/release/rllib_tests/multi_node_checkpointing_compute_config.yaml
index aea63ff74dfa2..60784554811e5 100644
--- a/release/rllib_tests/multi_node_checkpointing_compute_config.yaml
+++ b/release/rllib_tests/multi_node_checkpointing_compute_config.yaml
@@ -9,9 +9,9 @@ head_node_type:
 
 worker_node_types:
     - name: worker_node
-      instance_type: g3.8xlarge
-      min_workers: 1
-      max_workers: 1
+      instance_type: g3s.xlarge
+      min_workers: 2
+      max_workers: 2
       use_spot: false
 
 aws:
diff --git a/rllib/core/learner/torch/torch_learner.py b/rllib/core/learner/torch/torch_learner.py
index cdb39ec85909a..590e53d977a8b 100644
--- a/rllib/core/learner/torch/torch_learner.py
+++ b/rllib/core/learner/torch/torch_learner.py
@@ -69,7 +69,7 @@ def __init__(
         # Will be set during build.
         self._device = None
 
-        # Whether to compile the RL Module of this learner. This implies that the
+        # Whether to compile the RL Module of this learner. This implies that the.
         # forward_train method of the RL Module will be compiled. Further more,
         # other forward methods of the RL Module will be compiled on demand.
         # This is assumed to not happen, since other forwrad methods are not expected