diff --git a/README.md b/README.md
index 25a5ddd..36bf9ce 100644
--- a/README.md
+++ b/README.md
@@ -7,11 +7,12 @@ Interactive Multi-Agent Reinforcement Learning Environment for the [Gobblet](htt
Allows for users to play in the same environment, and even play against RL agents trained with [Tianshou](https://github.com/thu-ml/tianshou).
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-
+
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## Installation
@@ -117,7 +118,7 @@ The default game mode is human vs CPU, with the human playing as red and CPU as
``--render_mode="human" `` will render the game board visually using pygame. Player 1 plays red and goes first, while player 2 plays yellow.
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When playing interactively, possible moves can be previewed by hovering the mouse over each square. To move a piece which is already placed, simply click on it.
diff --git a/pyproject.toml b/pyproject.toml
index 25c6e23..12b2a8d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,6 +8,7 @@ authors = [
{ name="Elliot Tower", email="elliot@elliottower.com" },
]
description = "Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo."
+readme = "README.md"
requires-python = ">=3.8"
keywords = ["gobblet", "rl", "reinforcement learning", "pettingzoo", "gymnasium", "pygame", "tianshou"]
license = {file = 'LICENSE'}
@@ -17,11 +18,10 @@ classifiers = [
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
-dynamic=["version", "readme", "dependencies"]
+dynamic=["version", "dependencies"]
[tool.setuptools.dynamic]
version = {attr = "gobblet.__version__"}
-readme = {file = ["README.md"]}
dependencies = {file = ["requirements.txt"]}
[project.urls]