RL_notes

This repository contains notes about Monte Carlo Methods, TD methods, DQN networks and etc

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
.ipynb_checkpoints		.ipynb_checkpoints
REINFORCE		REINFORCE
images		images
.DS_Store		.DS_Store
ActorCriticMethod.ipynb		ActorCriticMethod.ipynb
CartPole_smart_agent.py		CartPole_smart_agent.py
Cross Entropy Method.ipynb		Cross Entropy Method.ipynb
Deep_Q-Network.ipynb		Deep_Q-Network.ipynb
Monte Carlo Methods.ipynb		Monte Carlo Methods.ipynb
MonteCarlo Practice -- questions.ipynb		MonteCarlo Practice -- questions.ipynb
Multi-AgentReinforcementLearning.ipynb		Multi-AgentReinforcementLearning.ipynb
Policy Based Method.ipynb		Policy Based Method.ipynb
PolicyGradientMethod.ipynb		PolicyGradientMethod.ipynb
ProximalPolicyOptimization.ipynb		ProximalPolicyOptimization.ipynb
Pytorch Introduction.ipynb		Pytorch Introduction.ipynb
README.md		README.md
RL in Continuous Spaces.ipynb		RL in Continuous Spaces.ipynb
RL in stock trading!.ipynb		RL in stock trading!.ipynb
RLFrameworkTheSolution.ipynb		RLFrameworkTheSolution.ipynb
Temporal-Difference Methods.ipynb		Temporal-Difference Methods.ipynb
The RL FrameWork.ipynb		The RL FrameWork.ipynb
hill_climbing_weight.pickle		hill_climbing_weight.pickle
policy_g.py		policy_g.py
stock.png		stock.png

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