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fc197acb6e
cse151b-final-project/dqn_wordle.ipynb
Ethan Shapiro fc197acb6e started new letter guess environment
2024-03-19 11:52:10 -07:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import gym\n",
"import gym_wordle\n",
"from stable_baselines3 import DQN, PPO, common\n",
"import numpy as np\n",
"import tqdm"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<Monitor<WordleEnv instance>>\n"
]
}
],
"source": [
"env = gym_wordle.wordle.WordleEnv()\n",
"env = common.monitor.Monitor(env)\n",
"\n",
"print(env)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cuda device\n",
"Wrapping the env in a DummyVecEnv.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6921a0721569456abf5bceac7e7b6b34",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"----------------------------------\n",
"| rollout/ | |\n",
"| ep_len_mean | 4.97 |\n",
"| ep_rew_mean | -63.8 |\n",
"| exploration_rate | 0.05 |\n",
"| time/ | |\n",
"| episodes | 10000 |\n",
"| fps | 1628 |\n",
"| time_elapsed | 30 |\n",
"| total_timesteps | 49995 |\n",
"----------------------------------\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"----------------------------------\n",
"| rollout/ | |\n",
"| ep_len_mean | 5 |\n",
"| ep_rew_mean | -70.5 |\n",
"| exploration_rate | 0.05 |\n",
"| time/ | |\n",
"| episodes | 20000 |\n",
"| fps | 662 |\n",
"| time_elapsed | 150 |\n",
"| total_timesteps | 99992 |\n",
"| train/ | |\n",
"| learning_rate | 0.0001 |\n",
"| loss | 11.7 |\n",
"| n_updates | 12497 |\n",
"----------------------------------\n"
]
},
{
"data": {
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"text/plain": [
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"data": {
"text/plain": [
"<stable_baselines3.dqn.dqn.DQN at 0x1bfd6cc0210>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"total_timesteps = 100_000\n",
"model = DQN(\"MlpPolicy\", env, verbose=1, device='cuda')\n",
"model.learn(total_timesteps=total_timesteps, log_interval=10_000, progress_bar=True)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"model.save(\"dqn_new_state\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Repository\\cse151b-final-project\\env\\Lib\\site-packages\\stable_baselines3\\common\\save_util.py:166: UserWarning: Could not deserialize object lr_schedule. Consider using `custom_objects` argument to replace this object.\n",
"Exception: code() argument 13 must be str, not int\n",
" warnings.warn(\n",
"c:\\Repository\\cse151b-final-project\\env\\Lib\\site-packages\\stable_baselines3\\common\\save_util.py:166: UserWarning: Could not deserialize object exploration_schedule. Consider using `custom_objects` argument to replace this object.\n",
"Exception: code() argument 13 must be str, not int\n",
" warnings.warn(\n"
]
}
],
"source": [
"# model = DQN.load(\"dqn_wordle\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
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"0\n"
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}
],
"source": [
"env = gym_wordle.wordle.WordleEnv()\n",
"\n",
"for i in range(1000):\n",
" \n",
" state, info = env.reset()\n",
"\n",
" done = False\n",
"\n",
" wins = 0\n",
"\n",
" while not done:\n",
"\n",
" action, _states = model.predict(state, deterministic=True)\n",
"\n",
" state, reward, done, truncated, info = env.step(action)\n",
"\n",
" print(state)\n",
" if info[\"correct\"]:\n",
" wins += 1\n",
"\n",
"print(wins)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
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" -50)"
]
},
"execution_count": 6,
"metadata": {},
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}
],
"source": [
"state, reward"
]
},
{
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"outputs": [],
"source": []
}
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