reinforcement_learning

repo for youtube channel: https://www.youtube.com/playlist?list=PLXziV1DL41ognSWZBuRNigZWdezlisyic

Name		Name	Last commit message	Last commit date
Latest commit History 96 Commits
REINFORCE_batch_version		REINFORCE_batch_version
REINFORCE_online_version		REINFORCE_online_version
SARSA_lambda		SARSA_lambda
TD_Q		TD_Q
TD_V		TD_V
TD_lambda_Q		TD_lambda_Q
TD_lambda_V		TD_lambda_V
dqn		dqn
gamblers ruin		gamblers ruin
img		img
iterative_policy_evaluation		iterative_policy_evaluation
markov_chain		markov_chain
markov_chain_class_version_added		markov_chain_class_version_added
markov_chain_stationary_ditribution		markov_chain_stationary_ditribution
mdp		mdp
monte_carlo_policy_evaluation_every_visit_Q		monte_carlo_policy_evaluation_every_visit_Q
monte_carlo_policy_evaluation_every_visit_V		monte_carlo_policy_evaluation_every_visit_V
monte_carlo_policy_evaluation_first_visit		monte_carlo_policy_evaluation_first_visit
policy_iteration		policy_iteration
q-learning		q-learning
sarsa		sarsa
value_iteration		value_iteration
Bellman_Equation_presentation.ipynb		Bellman_Equation_presentation.ipynb
Bias_Variance_Trade_Off_Every_Visit_Monte_Carlo_vs_TD.ipynb		Bias_Variance_Trade_Off_Every_Visit_Monte_Carlo_vs_TD.ipynb
DQN_numpy_implementation.ipynb		DQN_numpy_implementation.ipynb
DQN_presentation.ipynb		DQN_presentation.ipynb
DQN_tensorflow_implementation.ipynb		DQN_tensorflow_implementation.ipynb
Every_Visit_Monte_Carlo_Policy_Evaluation_Q.ipynb		Every_Visit_Monte_Carlo_Policy_Evaluation_Q.ipynb
Every_Visit_Monte_Carlo_Policy_Evaluation_V.ipynb		Every_Visit_Monte_Carlo_Policy_Evaluation_V.ipynb
Function_Approximation_Every_Visit_Monte_Carlo_Policy_Evaluation_Q.ipynb		Function_Approximation_Every_Visit_Monte_Carlo_Policy_Evaluation_Q.ipynb
Function_Approximation_Every_Visit_Monte_Carlo_Policy_Evaluation_V.ipynb		Function_Approximation_Every_Visit_Monte_Carlo_Policy_Evaluation_V.ipynb
Function_Approximation_Q_Learning.ipynb		Function_Approximation_Q_Learning.ipynb
Function_Approximation_Q_Learning_HOME_VERSION.ipynb		Function_Approximation_Q_Learning_HOME_VERSION.ipynb
Function_Approximation_SARSA.ipynb		Function_Approximation_SARSA.ipynb
Function_Approximation_SARSA_HOME_VERSION.ipynb		Function_Approximation_SARSA_HOME_VERSION.ipynb
Function_Approximation_TD_Q.ipynb		Function_Approximation_TD_Q.ipynb
Function_Approximation_TD_V.ipynb		Function_Approximation_TD_V.ipynb
Function_Approximation_TD_V.py		Function_Approximation_TD_V.py
Function_Approximation_TD_lambda_Q.ipynb		Function_Approximation_TD_lambda_Q.ipynb
Function_Approximation_TD_lambda_V.ipynb		Function_Approximation_TD_lambda_V.ipynb
Iterative_Policy_Evaluation_code.ipynb		Iterative_Policy_Evaluation_code.ipynb
Iterative_Policy_Evaluation_presentation.ipynb		Iterative_Policy_Evaluation_presentation.ipynb
MDP_code.ipynb		MDP_code.ipynb
MDP_presentation.ipynb		MDP_presentation.ipynb
Markov_Chain.ipynb		Markov_Chain.ipynb
Model_Free_Control_presentation.ipynb		Model_Free_Control_presentation.ipynb
Model_Free_Prediction_presentation.ipynb		Model_Free_Prediction_presentation.ipynb
Monte_Carlo_Policy_Evaluation.ipynb		Monte_Carlo_Policy_Evaluation.ipynb
OpenAi_Retro.ipynb		OpenAi_Retro.ipynb
Policy_Gradient_Theorem.ipynb		Policy_Gradient_Theorem.ipynb
Policy_Iteration_code.ipynb		Policy_Iteration_code.ipynb
Policy_Iteration_presentation.ipynb		Policy_Iteration_presentation.ipynb
Presentation_Group.ipynb		Presentation_Group.ipynb
Q_Learning.ipynb		Q_Learning.ipynb
README.md		README.md
SARSA.ipynb		SARSA.ipynb
SARSA_lambda.ipynb		SARSA_lambda.ipynb
TD_Q.ipynb		TD_Q.ipynb
TD_V.ipynb		TD_V.ipynb
TD_lambda_Q.ipynb		TD_lambda_Q.ipynb
TD_lambda_V.ipynb		TD_lambda_V.ipynb
Value_Iteration_code.ipynb		Value_Iteration_code.ipynb
Value_Iteration_presentation.ipynb		Value_Iteration_presentation.ipynb
dqn_env.py		dqn_env.py
dqn_ops.py		dqn_ops.py
dqn_policy.py		dqn_policy.py
dqn_q_net.py		dqn_q_net.py
env.py		env.py
model_MDP.py		model_MDP.py
마르코프 체인 - 스테이셔너리 분포.pptx		마르코프 체인 - 스테이셔너리 분포.pptx
마르코프 체인.pptx		마르코프 체인.pptx

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