GitHub - LeZhengThu/Koopman-RL: Data-driven Koopman control theory applied to reinforcement learning!

Name		Name	Last commit message	Last commit date
Latest commit History 85 Commits
optimal-agent		optimal-agent
random-agent		random-agent
.gitignore		.gitignore
Koopman RL 3-26.ipynb		Koopman RL 3-26.ipynb
Koopman RL 3-26.py		Koopman RL 3-26.py
Koopman RL 4-15.ipynb		Koopman RL 4-15.ipynb
Koopman RL 4-15.py		Koopman RL 4-15.py
Koopman RL 5-5.ipynb		Koopman RL 5-5.ipynb
Koopman RL 5-5.py		Koopman RL 5-5.py
Q_table.npy		Q_table.npy
RL.py		RL.py
algorithms.py		algorithms.py
base.py		base.py
brownian.py		brownian.py
cartpole_reward.py		cartpole_reward.py
conda_requirements.txt		conda_requirements.txt
domain.py		domain.py
edmd-rff-kernel.py		edmd-rff-kernel.py
estimate_L.py		estimate_L.py
estimate_drift_and_variance.py		estimate_drift_and_variance.py
faster_integration.py		faster_integration.py
gedmd.py		gedmd.py
general_model.py		general_model.py
generator.py		generator.py
gradient.py		gradient.py
hjb_koopman_control.py		hjb_koopman_control.py
iterative_lqr.py		iterative_lqr.py
kernels.py		kernels.py
koopman.py		koopman.py
koopman_control.py		koopman_control.py
multi-koopman.py		multi-koopman.py
observables.py		observables.py
predict_brownian.py		predict_brownian.py
randomRL.py		randomRL.py
requirements.txt		requirements.txt
rrr.py		rrr.py
scrap.py		scrap.py
simple_env.py		simple_env.py
sindy.py		sindy.py
state-action-inputs.npy		state-action-inputs.npy
state-action-outputs.npy		state-action-outputs.npy
system_identification.py		system_identification.py
systems.py		systems.py
tensor-approach.py		tensor-approach.py
test_model.py		test_model.py
test_mppi.py		test_mppi.py
tools.py		tools.py
williams-paper.py		williams-paper.py