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Update to make things work with new layout

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This commit is contained in:
Marek Wolan
2023-11-22 12:59:33 +00:00
parent afd64e4674
commit 1138644a4b
4 changed files with 514 additions and 564 deletions
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54
src/primaite/notebooks/train_rllib_single_agent.ipynb
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@@ -4,19 +4,7 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/cade/repos/PrimAITE/venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n",
"2023-11-18 09:06:45,876\tINFO util.py:159 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n",
"2023-11-18 09:06:48,446\tINFO util.py:159 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n",
"2023-11-18 09:06:48,692\tWARNING __init__.py:10 -- PG has/have been moved to `rllib_contrib` and will no longer be maintained by the RLlib team. You can still use it/them normally inside RLlib util Ray 2.8, but from Ray 2.9 on, all `rllib_contrib` algorithms will no longer be part of the core repo, and will therefore have to be installed separately with pinned dependencies for e.g. ray[rllib] and other packages! See https://github.com/ray-project/ray/tree/master/rllib_contrib#rllib-contrib for more information on the RLlib contrib effort.\n"
]
}
],
"outputs": [],
"source": [
"from primaite.game.game import PrimaiteGame\n",
"from primaite.game.environment import PrimaiteGymEnv\n",
@@ -56,7 +44,7 @@
"with open(example_config_path(), 'r') as f:\n",
" cfg = yaml.safe_load(f)\n",
"\n",
"sess = PrimaiteGame.from_config(cfg)"
"game = PrimaiteGame.from_config(cfg)"
]
},
{
@@ -65,44 +53,8 @@
"metadata": {},
"outputs": [],
"source": [
"sess.env = PrimaiteGymEnv(session=sess, agents=sess.rl_agents)"
"gym = PrimaiteGymEnv(game=game, agents=game.rl_agents)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"env = sess.env"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<primaite.game.environment.PrimaiteGymEnv at 0x7fad7190d7b0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"env"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {