diff --git a/examples/mujoco/mujoco_ppo_hl_multi.py b/examples/mujoco/mujoco_ppo_hl_multi.py
index 34256e7..9911379 100644
--- a/examples/mujoco/mujoco_ppo_hl_multi.py
+++ b/examples/mujoco/mujoco_ppo_hl_multi.py
@@ -1,4 +1,7 @@
 #!/usr/bin/env python3
+"""Use the high-level API of TianShou to evaluate the PPO algorithm on a MuJoCo environment with multiple seeds for a
+given configuration. After the agents are trained, the results are evaluated using rliable API.
+"""
 
 import os
 from collections.abc import Sequence
@@ -18,18 +21,19 @@ from tianshou.highlevel.params.dist_fn import (
 )
 from tianshou.highlevel.params.lr_scheduler import LRSchedulerFactoryLinear
 from tianshou.highlevel.params.policy_params import PPOParams
+from tianshou.utils import logging
 from tianshou.utils.logging import datetime_tag
 
 
 def main(
     experiment_config: ExperimentConfig,
     task: str = "Ant-v4",
-    num_experiments: int = 5,
+    num_experiments: int = 2,
     buffer_size: int = 4096,
     hidden_sizes: Sequence[int] = (64, 64),
     lr: float = 3e-4,
     gamma: float = 0.99,
-    epoch: int = 100,
+    epoch: int = 1,
     step_per_epoch: int = 30000,
     step_per_collect: int = 2048,
     repeat_per_collect: int = 10,
@@ -105,13 +109,10 @@ def main(
 
 
 def eval_experiments(log_dir: str):
-    results = RLiableExperimentResult.load_from_disk(log_dir, "PPO", None)
-    eval_results(results)
+    results = RLiableExperimentResult.load_from_disk(log_dir, "PPO")
+    eval_results(results, save_figure=True)
 
 
 if __name__ == "__main__":
-    # logging.run_cli(main)
-    # experiment_config = ExperimentConfig(watch=False)
-    # log_dir = logging.run_main(partial(main, experiment_config, epoch=2))
-    log_dir = "log/Ant-v4/ppo/20240312-114646"
+    log_dir = logging.run_cli(main)
     eval_experiments(log_dir)
diff --git a/examples/mujoco/tools.py b/examples/mujoco/tools.py
index c1d7077..ea402c8 100755
--- a/examples/mujoco/tools.py
+++ b/examples/mujoco/tools.py
@@ -23,7 +23,7 @@ class RLiableExperimentResult:
     score_thresholds: np.ndarray
 
     @staticmethod
-    def load_from_disk(exp_dir: str, algo_name: str, score_thresholds: np.ndarray | None):
+    def load_from_disk(exp_dir: str, algo_name: str, score_thresholds: np.ndarray | None = None):
         """Load the experiment result from disk.
 
         :param exp_dir: The directory from where the experiment results are restored.
@@ -63,7 +63,15 @@ class RLiableExperimentResult:
         )
 
 
-def eval_results(results: RLiableExperimentResult):
+def eval_results(results: RLiableExperimentResult, save_figure=False):
+    """Evaluate the results of an experiment and create the performance profile and sample efficiency curve.
+
+    :param results: The results of the experiment. Needs to be compatible with the rliable API. This can be achieved by
+        calling the method `load_from_disk` from the RLiableExperimentResult class.
+    :param save_figure: Whether to save the figures as png to the experiment directory.
+
+    :return: The axes of the created figures.
+    """
     import matplotlib.pyplot as plt
     import scipy.stats as sst
     import seaborn as sns
@@ -74,7 +82,7 @@ def eval_results(results: RLiableExperimentResult):
     iqm_scores, iqm_cis = rly.get_interval_estimates(results.score_dict, iqm, reps=50000)
 
     # Plot IQM sample efficiency curve
-    fig, ax = plt.subplots(ncols=1, figsize=(7, 5))
+    fig, ax1 = plt.subplots(ncols=1, figsize=(7, 5))
     plot_utils.plot_sample_efficiency_curve(
         results.env_steps,
         iqm_scores,
@@ -82,9 +90,11 @@ def eval_results(results: RLiableExperimentResult):
         algorithms=results.algorithms,
         xlabel=r"Number of env steps",
         ylabel="IQM episode return",
-        ax=ax,
+        ax=ax1,
     )
-    plt.savefig(os.path.join(results.exp_dir, "iqm_sample_efficiency_curve.png"))
+
+    if save_figure:
+        plt.savefig(os.path.join(results.exp_dir, "iqm_sample_efficiency_curve.png"))
 
     final_score_dict = {algo: returns[:, [-1]] for algo, returns in results.score_dict.items()}
     score_distributions, score_distributions_cis = rly.create_performance_profile(
@@ -93,7 +103,7 @@ def eval_results(results: RLiableExperimentResult):
     )
 
     # Plot score distributions
-    fig, ax = plt.subplots(ncols=1, figsize=(7, 5))
+    fig, ax2 = plt.subplots(ncols=1, figsize=(7, 5))
     plot_utils.plot_performance_profiles(
         score_distributions,
         results.score_thresholds,
@@ -106,9 +116,13 @@ def eval_results(results: RLiableExperimentResult):
             ),
         ),
         xlabel=r"Episode return $(\tau)$",
-        ax=ax,
+        ax=ax2,
     )
-    plt.savefig(os.path.join(results.exp_dir, "performance_profile.png"))
+
+    if save_figure:
+        plt.savefig(os.path.join(results.exp_dir, "performance_profile.png"))
+
+    return ax1, ax2
 
 
 def find_all_files(root_dir, pattern):
diff --git a/poetry.lock b/poetry.lock
index 0aa79b7..2e0c4ed 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -152,6 +152,44 @@ files = [
     {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
 ]
 
+[[package]]
+name = "arch"
+version = "5.3.0"
+description = "ARCH for Python"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "arch-5.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:84acb49c1a364c05846d87ddcf5fd505c0e07aa862ed42eb4c5790d91e02cc06"},
+    {file = "arch-5.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f1b47437ce24a8943d23f407cf12374c66dbd06c69ea269188bbebd899956347"},
+    {file = "arch-5.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:60a908398695775eb4582ceb538565f36862449e1b9475d0707cf1c4fa130964"},
+    {file = "arch-5.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44d5601307d67150d522f3137b6bc4327da9d04c8217e17cfaa6ba8a31e8cd55"},
+    {file = "arch-5.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:9329b6c633ca40bf457605bc1eef0093b7c6bac15754903987914cb6ef1861d5"},
+    {file = "arch-5.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:65d4b63ca395b546ed97f883a65144bb6decd827e4fecefcda1adc5fbdd91f66"},
+    {file = "arch-5.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f795d4bfc6b5bd44e71f480bccd030fb914dab756ecca081f75fa25c72b4646"},
+    {file = "arch-5.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c08638b948e6b5e5526d10cdbea23e847eb76a04667c42087373ebe55a097eda"},
+    {file = "arch-5.3.0-cp37-cp37m-win32.whl", hash = "sha256:2aaa969b2a49096d79abafac63bc4540203d8bbba69bbfbfb92f6d3f18488a29"},
+    {file = "arch-5.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:60220d90428ed19ce13ff88045482177d9a95648292b75d2ce80748dc67163ea"},
+    {file = "arch-5.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:95ceb0b0266b65052c66334fa6e5afa99deae56576beb7b63ad0c2afc6bfed89"},
+    {file = "arch-5.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ce3ceba7786916619ddf06a062ed09e9e8e4e15c6982661daf6132a25103351e"},
+    {file = "arch-5.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98dd5e07d83c9dfddba0441be3c982fd39831026d93bb029c6ff35a8598a583c"},
+    {file = "arch-5.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4dbcd0a7a1e4b697af1902d982d937774543f7b127a96f6cb94f0f41b8cd047a"},
+    {file = "arch-5.3.0-cp38-cp38-win32.whl", hash = "sha256:3b599a2f8bf75bf1deace6045bab2790da1d41889d6c3f979f3fe0324a7dfc33"},
+    {file = "arch-5.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:e517ca337d084c47ac1f71a7559db6462623f12823e473e157178a9f650f194a"},
+    {file = "arch-5.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7fa36de059f24f3446cf752d16089b6320493bec00d171bb170f49b6747b7916"},
+    {file = "arch-5.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ed2aa50b06dde2a803331494b1e0048a9e7f3e969a7d2463eca2cca86fde8a75"},
+    {file = "arch-5.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7ffefb8401b202d012d86d857509b4d5921039906b631214097f9963e74fe5d"},
+    {file = "arch-5.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:091e328d6604c1241431227322140ae354125b5219d8484ffdfa0968a050491d"},
+    {file = "arch-5.3.0-cp39-cp39-win32.whl", hash = "sha256:0edd49c3524bd35f9e17ffdf5af7d1530d39d908406a4208754864e0e70b62bd"},
+    {file = "arch-5.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:bfb6c841414a83017f0dc7b13b4a491062fe170fc9f9eb33e04f54e9bead4af9"},
+]
+
+[package.dependencies]
+numpy = ">=1.17"
+pandas = ">=1.0"
+property-cached = ">=1.6.4"
+scipy = ">=1.3"
+statsmodels = ">=0.11"
+
 [[package]]
 name = "argon2-cffi"
 version = "23.1.0"
@@ -719,6 +757,69 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "contourpy"
+version = "1.2.0"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = true
+python-versions = ">=3.9"
+files = [
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+    {file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
+    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fdd887f17c2f4572ce548461e4f96396681212d858cae7bd52ba3310bc6f00f"},
+    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d16edfc3fc09968e09ddffada434b3bf989bf4911535e04eada58469873e28e"},
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+    {file = "contourpy-1.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0d7e03c0f9a4f90dc18d4e77e9ef4ec7b7bbb437f7f675be8e530d65ae6ef956"},
+    {file = "contourpy-1.2.0.tar.gz", hash = "sha256:171f311cb758de7da13fc53af221ae47a5877be5a0843a9fe150818c51ed276a"},
+]
+
+[package.dependencies]
+numpy = ">=1.20,<2.0"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "coverage"
 version = "7.3.2"
@@ -798,6 +899,21 @@ files = [
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+
 [[package]]
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 [[package]]
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 version = "1.5.1"
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+version = "1.6.4"
+description = "A decorator for caching properties in classes (forked from cached-property)."
+optional = true
+python-versions = ">= 3.5"
+files = [
+    {file = "property-cached-1.6.4.zip", hash = "sha256:3e9c4ef1ed3653909147510481d7df62a3cfb483461a6986a6f1dcd09b2ebb73"},
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+]
+
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 name = "protobuf"
 version = "3.20.3"
@@ -4094,6 +4592,20 @@ files = [
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 ]
 
+[[package]]
+name = "pyparsing"
+version = "3.1.2"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+optional = true
+python-versions = ">=3.6.8"
+files = [
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+    {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
+]
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
+
 [[package]]
 name = "pytest"
 version = "7.4.3"
@@ -4157,6 +4669,17 @@ files = [
     {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
 ]
 
+[[package]]
+name = "pytz"
+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = true
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "pywin32"
 version = "306"
@@ -4536,6 +5059,24 @@ files = [
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 ]
 
+[[package]]
+name = "rliable"
+version = "1.0.8"
+description = "rliable: Reliable evaluation on reinforcement learning and machine learning benchmarks."
+optional = true
+python-versions = "*"
+files = [
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+]
+
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+arch = "5.3.0"
+numpy = ">=1.16.4"
+scipy = ">=1.7.0"
+seaborn = ">=0.11.2"
+
 [[package]]
 name = "rpds-py"
 version = "0.13.0"
@@ -4803,6 +5344,27 @@ dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyl
 doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
 test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
+[[package]]
+name = "seaborn"
+version = "0.13.2"
+description = "Statistical data visualization"
+optional = true
+python-versions = ">=3.8"
+files = [
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+numpy = ">=1.20,<1.24.0 || >1.24.0"
+pandas = ">=1.2"
+
+[package.extras]
+dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"]
+docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
+stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
+
 [[package]]
 name = "send2trash"
 version = "1.8.2"
@@ -5630,6 +6192,106 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
+[[package]]
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+version = "0.14.0"
+description = "Statistical computations and models for Python"
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+python-versions = ">=3.8"
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+
 [[package]]
 name = "swig"
 version = "4.2.0"
@@ -5946,6 +6608,17 @@ files = [
     {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = true
+python-versions = ">=2"
+files = [
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+]
+
 [[package]]
 name = "uc-micro-py"
 version = "1.0.2"
@@ -6219,6 +6892,7 @@ atari = ["ale-py", "autorom", "opencv_python", "shimmy"]
 box2d = ["box2d_py", "pygame", "swig"]
 classic-control = ["pygame"]
 envpool = ["envpool"]
+eval = ["rliable"]
 mujoco = ["imageio", "mujoco"]
 mujoco-py = ["cython", "mujoco-py"]
 pybullet = ["pybullet"]
@@ -6228,4 +6902,4 @@ vizdoom = ["vizdoom"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "0d4ff98ed02fe3f34c0d05b5d175822a82ac08a5ed52e57b7f847a48c302add6"
+content-hash = "4aec2debf89f1318e837ca6cce127b41fa6603701aecd05f1bed6fabfaf4e9ee"
diff --git a/pyproject.toml b/pyproject.toml
index d4679f9..a4a87ce 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -62,6 +62,7 @@ mujoco-py = { version = ">=2.1,<2.2", optional = true }
 opencv_python = { version = "*", optional = true }
 pybullet = { version = "*", optional = true }
 pygame = { version = ">=2.1.3", optional = true }
+rliable = { version = "*", optional = true }
 shimmy = { version = ">=0.1.0,<1.0", optional = true }
 swig = { version = "4.*", optional = true }
 vizdoom = { version = "*", optional = true }
@@ -76,6 +77,7 @@ pybullet = ["pybullet"]
 envpool = ["envpool"]
 robotics = ["gymnasium-robotics"]
 vizdoom = ["vizdoom"]
+eval = ["rliable"]
 
 
 [tool.poetry.group.dev]