diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 74e813e..4cf78e2 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -20,12 +20,12 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
- python-version: ["3.8", "3.9", "3.10", "3.11"]
+ python-version: ["3.10", "3.11", "3.12", "3.13"]
steps:
- - uses: actions/checkout@v3
+ - uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v4
+ uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
@@ -33,20 +33,13 @@ jobs:
python -m pip install --upgrade pip
# Use uv for faster downloads
pip install uv
- # cpu version of pytorch
- # See https://github.com/astral-sh/uv/issues/1497
- uv pip install --system torch==2.4.1+cpu --index https://download.pytorch.org/whl/cpu
-
- uv pip install --system ".[tests]"
+ uv sync --extra tests
+ echo "$PWD/.venv/bin" >> $GITHUB_PATH
- name: Lint with ruff
- run: |
- make lint
+ run: make lint
- name: Check codestyle
- run: |
- make check-codestyle
+ run: make check-codestyle
- name: Type check
- run: |
- make type
+ run: make type
- name: Test with pytest
- run: |
- make pytest
+ run: make pytest
diff --git a/README.md b/README.md
index 58aadfd..1328588 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# Reinforcement Learning Summer School 2023 - DQN Tutorial
+# Reinforcement Learning Summer School 2023/2026 - DQN Tutorial
@@ -14,6 +14,11 @@ Stable-Baselines3 repo: https://github.com/DLR-RM/stable-baselines3
RL Virtual School 2021: https://github.com/araffin/rl-handson-rlvs21
+RL Summer School 2023: https://rlsummerschool.com/2023/
+
+RL Summer School 2026: https://2026.rlsummerschool.com/
+
+
## Content
@@ -22,6 +27,11 @@ RL Virtual School 2021: https://github.com/araffin/rl-handson-rlvs21
2. Deep Q-Network (DQN) Part I: DQN Components: Replay Buffer, Q-Network, ... [Colab Notebook](https://colab.research.google.com/github/araffin/rlss23-dqn-tutorial/blob/main/notebooks/2_deep_q_network_dqn_components.ipynb)
3. Deep Q-Network (DQN) Part II: DQN Update and Training Loop [Colab Notebook](https://colab.research.google.com/github/araffin/rlss23-dqn-tutorial/blob/main/notebooks/3_deep_q_network_dqn_update.ipynb)
+## Run Locally (instead of using Google colab)
+
+1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/)
+2. Run `uv run jupyter lab notebooks`
+
## Solutions
Solutions can be found in the [notebooks/solutions/](https://github.com/araffin/rlss23-dqn-tutorial/tree/main/notebooks/solutions) folder.
diff --git a/dqn_tutorial/dqn/dqn.py b/dqn_tutorial/dqn/dqn.py
index b959dbc..928092e 100644
--- a/dqn_tutorial/dqn/dqn.py
+++ b/dqn_tutorial/dqn/dqn.py
@@ -1,5 +1,3 @@
-from typing import Optional
-
import gymnasium as gym
import numpy as np
import torch as th
@@ -96,7 +94,7 @@ def run_dqn(
eval_exploration_rate: float = 0.0,
seed: int = 2023,
# device: Union[th.device, str] = "cpu",
- eval_render_mode: Optional[str] = None, # "human", "rgb_array", None
+ eval_render_mode: str | None = None, # "human", "rgb_array", None
) -> QNetwork:
"""
Run Deep Q-Learning (DQN) on a given environment.
diff --git a/dqn_tutorial/dqn/dqn_no_target.py b/dqn_tutorial/dqn/dqn_no_target.py
index 89fb2ac..344a203 100644
--- a/dqn_tutorial/dqn/dqn_no_target.py
+++ b/dqn_tutorial/dqn/dqn_no_target.py
@@ -1,5 +1,3 @@
-from typing import Optional
-
import gymnasium as gym
import numpy as np
import torch as th
@@ -85,7 +83,7 @@ def run_dqn_no_target(
eval_exploration_rate: float = 0.0,
seed: int = 2023,
# device: Union[th.device, str] = "cpu",
- eval_render_mode: Optional[str] = None, # "human", "rgb_array", None
+ eval_render_mode: str | None = None, # "human", "rgb_array", None
) -> QNetwork:
"""
Run Deep Q-Learning (DQN) on a given environment.
diff --git a/dqn_tutorial/dqn/evaluation.py b/dqn_tutorial/dqn/evaluation.py
index 233154a..26a710b 100644
--- a/dqn_tutorial/dqn/evaluation.py
+++ b/dqn_tutorial/dqn/evaluation.py
@@ -1,6 +1,5 @@
import warnings
from pathlib import Path
-from typing import Optional
import gymnasium as gym
import numpy as np
@@ -24,7 +23,7 @@ def evaluate_policy(
q_net: QNetwork,
n_eval_episodes: int,
eval_exploration_rate: float = 0.0,
- video_name: Optional[str] = None,
+ video_name: str | None = None,
) -> None:
"""
Evaluate the policy by computing the average episode reward
diff --git a/dqn_tutorial/dqn/q_network.py b/dqn_tutorial/dqn/q_network.py
index 9cf563b..aaa2719 100644
--- a/dqn_tutorial/dqn/q_network.py
+++ b/dqn_tutorial/dqn/q_network.py
@@ -1,5 +1,3 @@
-from typing import Type
-
import torch as th
import torch.nn as nn
from gymnasium import spaces
@@ -23,7 +21,7 @@ def __init__(
observation_space: spaces.Box,
action_space: spaces.Discrete,
n_hidden_units: int = 64,
- activation_fn: Type[nn.Module] = nn.ReLU,
+ activation_fn: type[nn.Module] = nn.ReLU,
) -> None:
super().__init__()
# Assume 1d space
diff --git a/dqn_tutorial/fqi/fqi.py b/dqn_tutorial/fqi/fqi.py
index bc1f1e5..0cb6f53 100644
--- a/dqn_tutorial/fqi/fqi.py
+++ b/dqn_tutorial/fqi/fqi.py
@@ -7,7 +7,6 @@
from functools import partial
from pathlib import Path
-from typing import Optional
import gymnasium as gym
import numpy as np
@@ -27,7 +26,7 @@
def create_model_input(
obs: np.ndarray,
actions: np.ndarray,
- features_extractor: Optional[PolynomialFeatures] = None,
+ features_extractor: PolynomialFeatures | None = None,
) -> np.ndarray:
"""
Concatenate observation (batch_size, n_features)
@@ -57,7 +56,7 @@ def get_q_values(
model: RegressorMixin,
obs: np.ndarray,
n_actions: int,
- features_extractor: Optional[PolynomialFeatures] = None,
+ features_extractor: PolynomialFeatures | None = None,
) -> np.ndarray:
"""
Retrieve the q-values for a set of observations (=states in the theory).
@@ -93,7 +92,7 @@ def evaluate(
model: RegressorMixin,
env: gym.Env,
n_eval_episodes: int = 10,
- features_extractor: Optional[PolynomialFeatures] = None,
+ features_extractor: PolynomialFeatures | None = None,
) -> None:
episode_returns, episode_reward = [], 0.0
total_episodes = 0
diff --git a/dqn_tutorial/notebook_utils.py b/dqn_tutorial/notebook_utils.py
index 02fbc83..3fbc4af 100644
--- a/dqn_tutorial/notebook_utils.py
+++ b/dqn_tutorial/notebook_utils.py
@@ -14,12 +14,8 @@ def show_videos(video_path: str = "", prefix: str = "") -> None:
html = []
for mp4 in Path(video_path).glob(f"{prefix}*.mp4"):
video_b64 = base64.b64encode(mp4.read_bytes())
- html.append(
- """""".format(
- mp4, video_b64.decode("ascii")
- )
- )
+ """.format(mp4, video_b64.decode("ascii")))
ipythondisplay.display(ipythondisplay.HTML(data="
".join(html)))
diff --git a/notebooks/2_deep_q_network_dqn_components.ipynb b/notebooks/2_deep_q_network_dqn_components.ipynb
index 92c0fb7..f0bce88 100644
--- a/notebooks/2_deep_q_network_dqn_components.ipynb
+++ b/notebooks/2_deep_q_network_dqn_components.ipynb
@@ -104,7 +104,6 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Optional\n",
"\n",
"import numpy as np\n",
"import torch as th\n",
@@ -346,7 +345,6 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Type\n",
"\n",
"import torch as th\n",
"import torch.nn as nn\n",
@@ -371,7 +369,7 @@
" observation_space: spaces.Box,\n",
" action_space: spaces.Discrete,\n",
" n_hidden_units: int = 64,\n",
- " activation_fn: Type[nn.Module] = nn.ReLU,\n",
+ " activation_fn: type[nn.Module] = nn.ReLU,\n",
" ) -> None:\n",
" super().__init__()\n",
" # Assume 1d space\n",
diff --git a/notebooks/solutions/1_fitted_q_iteration_fqi.ipynb b/notebooks/solutions/1_fitted_q_iteration_fqi.ipynb
index feeead2..52f7fcd 100644
--- a/notebooks/solutions/1_fitted_q_iteration_fqi.ipynb
+++ b/notebooks/solutions/1_fitted_q_iteration_fqi.ipynb
@@ -384,7 +384,6 @@
"source": [
"from functools import partial\n",
"from pathlib import Path\n",
- "from typing import Optional\n",
"\n",
"import gymnasium as gym\n",
"import numpy as np\n",
@@ -606,7 +605,7 @@
" model: RegressorMixin,\n",
" env: gym.Env,\n",
" n_eval_episodes: int = 10,\n",
- " video_name: Optional[str] = None,\n",
+ " video_name: str | None = None,\n",
") -> None:\n",
" episode_returns, episode_reward = [], 0.0\n",
" total_episodes = 0\n",
diff --git a/notebooks/solutions/2_deep_q_network_dqn_components.ipynb b/notebooks/solutions/2_deep_q_network_dqn_components.ipynb
index c4fbcd9..a350f16 100644
--- a/notebooks/solutions/2_deep_q_network_dqn_components.ipynb
+++ b/notebooks/solutions/2_deep_q_network_dqn_components.ipynb
@@ -110,7 +110,6 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Optional\n",
"\n",
"import numpy as np\n",
"import torch as th\n",
@@ -359,7 +358,6 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Type\n",
"\n",
"import torch as th\n",
"import torch.nn as nn\n",
@@ -384,7 +382,7 @@
" observation_space: spaces.Box,\n",
" action_space: spaces.Discrete,\n",
" n_hidden_units: int = 64,\n",
- " activation_fn: Type[nn.Module] = nn.ReLU,\n",
+ " activation_fn: type[nn.Module] = nn.ReLU,\n",
" ) -> None:\n",
" super().__init__()\n",
" # Assume 1d space\n",
diff --git a/notebooks/solutions/3_deep_q_network_dqn_update.ipynb b/notebooks/solutions/3_deep_q_network_dqn_update.ipynb
index 831e0e2..8b4532e 100644
--- a/notebooks/solutions/3_deep_q_network_dqn_update.ipynb
+++ b/notebooks/solutions/3_deep_q_network_dqn_update.ipynb
@@ -74,7 +74,6 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Optional\n",
"\n",
"import numpy as np\n",
"import torch as th\n",
@@ -257,7 +256,7 @@
" eval_exploration_rate: float = 0.0,\n",
" seed: int = 2023,\n",
" # device: Union[th.device, str] = \"cpu\",\n",
- " eval_render_mode: Optional[str] = None, # \"human\", \"rgb_array\", None\n",
+ " eval_render_mode: str | None = None, # \"human\", \"rgb_array\", None\n",
") -> QNetwork:\n",
" \"\"\"\n",
" Run Deep Q-Learning (DQN) on a given environment.\n",
@@ -558,7 +557,7 @@
" eval_exploration_rate: float = 0.0,\n",
" seed: int = 2023,\n",
" # device: Union[th.device, str] = \"cpu\",\n",
- " eval_render_mode: Optional[str] = None, # \"human\", \"rgb_array\", None\n",
+ " eval_render_mode: str | None = None, # \"human\", \"rgb_array\", None\n",
") -> QNetwork:\n",
" \"\"\"\n",
" Run Deep Q-Learning (DQN) on a given environment.\n",
diff --git a/pyproject.toml b/pyproject.toml
index 1be4fd3..4baeb3e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,27 +12,41 @@ dynamic = ["version"]
authors = [{ name = "Antonin Raffin", email = "antonin.raffin@dlr.de" }]
description = "A small example package"
readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.10"
classifiers = [
"Programming Language :: Python :: 3",
- "Programming Language :: Python :: 3.8",
- "Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
+ "Programming Language :: Python :: 3.13",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
dependencies = [
"numpy",
- "gymnasium[classic-control,other]>=0.29.1,<1.1.0",
"scikit-learn",
"torch>=2.4.0",
+ "gymnasium[classic-control,other]>=0.29.1,<1.3.0",
+]
+
+[dependency-groups]
+dev = [
+ "jupyterlab>=4.5.6",
]
[tool.setuptools_scm]
write_to = "dqn_tutorial/_version.py"
+[[tool.uv.index]]
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+explicit = true
+
+[tool.uv.sources]
+torch = [
+ { index = "pytorch-cpu" },
+]
+
[project.optional-dependencies]
tests = [
# Run tests and coverage
@@ -53,8 +67,8 @@ tests = [
[tool.ruff]
# Same as Black.
line-length = 127
-# Assume Python 3.8
-target-version = "py38"
+# Assume Python 3.10
+target-version = "py310"
[tool.ruff.lint]
# See https://beta.ruff.rs/docs/rules/
@@ -71,7 +85,7 @@ max-complexity = 15
[tool.black]
line-length = 127
-
+target-version = ["py310"]
[tool.mypy]
ignore_missing_imports = true
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..79c67a2
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,3784 @@
+version = 1
+revision = 3
+requires-python = ">=3.10"
+resolution-markers = [
+ "python_full_version >= '3.14' and sys_platform == 'win32'",
+ "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+ "python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'",
+ "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
+ "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version == '3.11.*' and sys_platform == 'win32'",
+ "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+ "python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version >= '3.14' and sys_platform == 'darwin'",
+ "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'darwin'",
+ "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+ "python_full_version < '3.11' and sys_platform != 'darwin'",
+ "python_full_version < '3.11' and sys_platform == 'darwin'",
+]
+
+[[package]]
+name = "anyio"
+version = "4.12.1"
+source = { registry = "https://pypi.org/simple" }
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+ { name = "idna" },
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