GitHub - guangxush/Mozart: Adaptive Learning Model Based on Small Number of Samples

Adaptive Learning Model Based on Small Number of Samples

    python adaptive_learning.py

dataset A (3000/10): train model 1 and using 0.2 part validate the model
dataset B (100): using model 1 generate model2 data and train model 2 and using 0.2 part validate the model
dataset C (100): test the model1&model2
the positive data count is equals the count of the negative data

Name		Name	Last commit message	Last commit date
Latest commit History 216 Commits
data		data
document		document
game		game
logs		logs
model		model
result		result
util		util
.gitignore		.gitignore
DPG.py		DPG.py
DQN.py		DQN.py
DQN_ALL.py		DQN_ALL.py
DRL.py		DRL.py
DRL_ALL.py		DRL_ALL.py
DoubleDQN.py		DoubleDQN.py
GenerateResult.py		GenerateResult.py
NatureDQN.py		NatureDQN.py
README.md		README.md
adaptive_learning.py		adaptive_learning.py
adaptive_learning_rl.py		adaptive_learning_rl.py
generate_rl_data.py		generate_rl_data.py
model_use.py		model_use.py
use_all_data.py		use_all_data.py