diff --git a/python/ray/tune/logger.py b/python/ray/tune/logger.py
index d7544c997..29775b6cd 100644
--- a/python/ray/tune/logger.py
+++ b/python/ray/tune/logger.py
@@ -186,6 +186,9 @@ class TBXLogger(Logger):
         {"a": {"b": 1, "c": 2}} -> {"a/b": 1, "a/c": 2}
     """
 
+    # NoneType is not supported on the last TBX release yet.
+    VALID_HPARAMS = (str, bool, int, float, list)
+
     def _init(self):
         try:
             from tensorboardX import SummaryWriter
@@ -253,14 +256,31 @@ class TBXLogger(Logger):
         flat_params = flatten_dict(self.trial.evaluated_params)
         scrubbed_params = {
             k: v
-            for k, v in flat_params.items() if v is not None
+            for k, v in flat_params.items()
+            if isinstance(v, self.VALID_HPARAMS)
         }
+
+        removed = {
+            k: v
+            for k, v in flat_params.items()
+            if not isinstance(v, self.VALID_HPARAMS)
+        }
+        if removed:
+            logger.info(
+                "Removed the following hyperparameter values when "
+                "logging to tensorboard: %s", str(removed))
+
         from tensorboardX.summary import hparams
-        experiment_tag, session_start_tag, session_end_tag = hparams(
-            hparam_dict=scrubbed_params, metric_dict=result)
-        self._file_writer.file_writer.add_summary(experiment_tag)
-        self._file_writer.file_writer.add_summary(session_start_tag)
-        self._file_writer.file_writer.add_summary(session_end_tag)
+        try:
+            experiment_tag, session_start_tag, session_end_tag = hparams(
+                hparam_dict=scrubbed_params, metric_dict=result)
+            self._file_writer.file_writer.add_summary(experiment_tag)
+            self._file_writer.file_writer.add_summary(session_start_tag)
+            self._file_writer.file_writer.add_summary(session_end_tag)
+        except Exception:
+            logger.exception("TensorboardX failed to log hparams. "
+                             "This may be due to an unsupported type "
+                             "in the hyperparameter values.")
 
 
 DEFAULT_LOGGERS = (JsonLogger, CSVLogger, TBXLogger)
diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py
index 9b3c8d946..9a52ec61c 100644
--- a/python/ray/tune/tests/test_logger.py
+++ b/python/ray/tune/tests/test_logger.py
@@ -46,7 +46,7 @@ class LoggerSuite(unittest.TestCase):
         logger.close()
 
     def testTBX(self):
-        config = {"a": 2, "b": 5, "c": {"c": {"D": 123}, "e": None}}
+        config = {"a": 2, "b": [1, 2], "c": {"c": {"D": 123}}}
         t = Trial(evaluated_params=config, trial_id="tbx")
         logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
         logger.on_result(result(0, 4))
@@ -54,6 +54,25 @@ class LoggerSuite(unittest.TestCase):
         logger.on_result(result(2, 4, score=[1, 2, 3], hello={"world": 1}))
         logger.close()
 
+    def testBadTBX(self):
+        config = {"b": (1, 2, 3)}
+        t = Trial(evaluated_params=config, trial_id="tbx")
+        logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
+        logger.on_result(result(0, 4))
+        logger.on_result(result(2, 4, score=[1, 2, 3], hello={"world": 1}))
+        with self.assertLogs("ray.tune.logger", level="INFO") as cm:
+            logger.close()
+        assert "INFO" in cm.output[0]
+
+        config = {"None": None}
+        t = Trial(evaluated_params=config, trial_id="tbx")
+        logger = TBXLogger(config=config, logdir=self.test_dir, trial=t)
+        logger.on_result(result(0, 4))
+        logger.on_result(result(2, 4, score=[1, 2, 3], hello={"world": 1}))
+        with self.assertLogs("ray.tune.logger", level="INFO") as cm:
+            logger.close()
+        assert "INFO" in cm.output[0]
+
 
 if __name__ == "__main__":
     import pytest