diff --git a/docs/source/primaite_session.rst b/docs/source/primaite_session.rst
index a393093c..8079212e 100644
--- a/docs/source/primaite_session.rst
+++ b/docs/source/primaite_session.rst
@@ -42,6 +42,36 @@ The sub-directory is formatted as such: ``~/primaite/sessions/<yyyy-mm-dd>/<yyyy
 For example, when running a session at 17:30:00 on 31st January 2023, the session will output to:
 ``~/primaite/sessions/2023-01-31/2023-01-31_17-30-00/``.
 
+Loading a session
+-------
+A previous session can be loaded by providing the **directory** of the previous session to either the ``primaite session`` command from the cli
+(See :func:`primaite.cli.session`), or by calling :func:`primaite.main.run` with session_path.
+
+.. tabs::
+
+    .. code-tab:: bash
+        :caption: Unix CLI
+
+        cd ~/primaite
+        source ./.venv/bin/activate
+        primaite session --load "path/to/session"
+
+    .. code-tab:: bash
+        :caption: Powershell CLI
+
+        cd ~\primaite
+        .\.venv\Scripts\activate
+        primaite session --load "path\to\session"
+
+
+    .. code-tab:: python
+        :caption: Python
+
+        from primaite.main import run
+
+        run(session_path=<previous session directory>)
+
+When PrimAITE runs a loaded session, PrimAITE will output in the provided session directory
 
 Outputs
 -------
diff --git a/src/primaite/main.py b/src/primaite/main.py
index f2d1b9c2..9fcc4df6 100644
--- a/src/primaite/main.py
+++ b/src/primaite/main.py
@@ -2,7 +2,7 @@
 """The main PrimAITE session runner module."""
 import argparse
 from pathlib import Path
-from typing import Union
+from typing import Optional, Union
 
 from primaite import getLogger
 from primaite.primaite_session import PrimaiteSession
@@ -11,16 +11,21 @@ _LOGGER = getLogger(__name__)
 
 
 def run(
-    training_config_path: Union[str, Path],
-    lay_down_config_path: Union[str, Path],
+    training_config_path: Optional[Union[str, Path]] = "",
+    lay_down_config_path: Optional[Union[str, Path]] = "",
+    session_path: Optional[Union[str, Path]] = None,
 ):
     """
     Run the PrimAITE Session.
 
-    :param training_config_path: The training config filepath.
-    :param lay_down_config_path: The lay down config filepath.
+    :param training_config_path: YAML file containing configurable items defined in
+            `primaite.config.training_config.TrainingConfig`
+        :type training_config_path: Union[path, str]
+        :param lay_down_config_path: YAML file containing configurable items for generating network laydown.
+        :type lay_down_config_path: Union[path, str]
+        :param session_path: directory path of the session to load
     """
-    session = PrimaiteSession(training_config_path, lay_down_config_path)
+    session = PrimaiteSession(training_config_path, lay_down_config_path, session_path)
 
     session.setup()
     session.learn()
@@ -31,9 +36,14 @@ if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("--tc")
     parser.add_argument("--ldc")
+    parser.add_argument("--load")
+
     args = parser.parse_args()
-    if not args.tc:
-        _LOGGER.error("Please provide a training config file using the --tc " "argument")
-    if not args.ldc:
-        _LOGGER.error("Please provide a lay down config file using the --ldc " "argument")
-    run(training_config_path=args.tc, lay_down_config_path=args.ldc)
+    if args.load:
+        run(session_path=args.load)
+    else:
+        if not args.tc:
+            _LOGGER.error("Please provide a training config file using the --tc " "argument")
+        if not args.ldc:
+            _LOGGER.error("Please provide a lay down config file using the --ldc " "argument")
+        run(training_config_path=args.tc, lay_down_config_path=args.ldc)
diff --git a/src/primaite/primaite_session.py b/src/primaite/primaite_session.py
index 4dab5cb6..76134238 100644
--- a/src/primaite/primaite_session.py
+++ b/src/primaite/primaite_session.py
@@ -35,8 +35,12 @@ class PrimaiteSession:
         """
         The PrimaiteSession constructor.
 
-        :param training_config_path: The training config path.
-        :param lay_down_config_path: The lay down config path.
+        :param training_config_path: YAML file containing configurable items defined in
+            `primaite.config.training_config.TrainingConfig`
+        :type training_config_path: Union[path, str]
+        :param lay_down_config_path: YAML file containing configurable items for generating network laydown.
+        :type lay_down_config_path: Union[path, str]
+        :param session_path: directory path of the session to load
         """
         self._agent_session: AgentSessionABC = None  # noqa
         self.session_path: Path = session_path  # noqa
diff --git a/tests/test_session_loading.py b/tests/test_session_loading.py
index d79b0dde..54cac351 100644
--- a/tests/test_session_loading.py
+++ b/tests/test_session_loading.py
@@ -8,6 +8,7 @@ from uuid import uuid4
 from primaite import getLogger
 from primaite.agents.sb3 import SB3Agent
 from primaite.common.enums import AgentFramework, AgentIdentifier
+from primaite.main import run
 from primaite.primaite_session import PrimaiteSession
 from primaite.utils.session_output_reader import av_rewards_dict
 from tests import TEST_ASSETS_ROOT
@@ -153,3 +154,35 @@ def test_load_primaite_session():
 
     # delete the test directory
     shutil.rmtree(test_path)
+
+
+def test_run_loading():
+    """Test loading session via main.run."""
+    expected_learn_mean_reward_per_episode = {
+        10: 0,
+        11: -0.008037109374999995,
+        12: -0.007978515624999988,
+        13: -0.008191406249999991,
+        14: -0.00817578124999999,
+        15: -0.008085937499999998,
+        16: -0.007837890624999982,
+        17: -0.007798828124999992,
+        18: -0.007777343749999998,
+        19: -0.007958984374999988,
+        20: -0.0077499999999999835,
+    }
+
+    test_path = copy_session_asset(TEST_ASSETS_ROOT / "example_sb3_agent_session")
+
+    # create loaded session
+    run(session_path=test_path)
+
+    learn_mean_rewards = av_rewards_dict(
+        next(Path(test_path).rglob("**/learning/average_reward_per_episode_*.csv"), None)
+    )
+
+    # run is seeded so should have the expected learn value
+    assert learn_mean_rewards == expected_learn_mean_reward_per_episode
+
+    # delete the test directory
+    shutil.rmtree(test_path)