Search for (Python)Project that compares Reinforcement Learning vs. DeepRL
There is Reinforcementlearning without any Neural Network (like Q-Learning) and there is Deep-Reinforcementlearning (like Deep Q-Learning).
Is there already a Project which provides a comparison between two approaches on the same problem? Maybe a small Python project or a blogpost I'm not aware off...
I only find master thesis on this topic but without any code, see:
https://www.kth.se/social/files/58865ec8f27654607fb6e9a4/PFinnman_MWinberg_dkand16.pdf?fbclid=IwAR0PDJHx6e04xtamDG7IjHWIZAcdP2Qg_xsgJO0G0_kHWPVgVFS99eePP7g
deep-learning reinforcement-learning
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There is Reinforcementlearning without any Neural Network (like Q-Learning) and there is Deep-Reinforcementlearning (like Deep Q-Learning).
Is there already a Project which provides a comparison between two approaches on the same problem? Maybe a small Python project or a blogpost I'm not aware off...
I only find master thesis on this topic but without any code, see:
https://www.kth.se/social/files/58865ec8f27654607fb6e9a4/PFinnman_MWinberg_dkand16.pdf?fbclid=IwAR0PDJHx6e04xtamDG7IjHWIZAcdP2Qg_xsgJO0G0_kHWPVgVFS99eePP7g
deep-learning reinforcement-learning
add a comment |
There is Reinforcementlearning without any Neural Network (like Q-Learning) and there is Deep-Reinforcementlearning (like Deep Q-Learning).
Is there already a Project which provides a comparison between two approaches on the same problem? Maybe a small Python project or a blogpost I'm not aware off...
I only find master thesis on this topic but without any code, see:
https://www.kth.se/social/files/58865ec8f27654607fb6e9a4/PFinnman_MWinberg_dkand16.pdf?fbclid=IwAR0PDJHx6e04xtamDG7IjHWIZAcdP2Qg_xsgJO0G0_kHWPVgVFS99eePP7g
deep-learning reinforcement-learning
There is Reinforcementlearning without any Neural Network (like Q-Learning) and there is Deep-Reinforcementlearning (like Deep Q-Learning).
Is there already a Project which provides a comparison between two approaches on the same problem? Maybe a small Python project or a blogpost I'm not aware off...
I only find master thesis on this topic but without any code, see:
https://www.kth.se/social/files/58865ec8f27654607fb6e9a4/PFinnman_MWinberg_dkand16.pdf?fbclid=IwAR0PDJHx6e04xtamDG7IjHWIZAcdP2Qg_xsgJO0G0_kHWPVgVFS99eePP7g
deep-learning reinforcement-learning
deep-learning reinforcement-learning
asked Jan 19 at 15:48
Boun7yhun7erBoun7yhun7er
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You may have heard about Sutton-Barto book on reinforcement-learning-an-introduction. In this book, you will find a lot of examples, on Q learning using table as well as with neural-network.
There are also comparison between many other algorithm like SARSA, TD, Q, value-function etc. In that link, you will find code repository which have solution of almost all problem from the book.
Feel free to ask question.
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1 Answer
1
active
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You may have heard about Sutton-Barto book on reinforcement-learning-an-introduction. In this book, you will find a lot of examples, on Q learning using table as well as with neural-network.
There are also comparison between many other algorithm like SARSA, TD, Q, value-function etc. In that link, you will find code repository which have solution of almost all problem from the book.
Feel free to ask question.
add a comment |
You may have heard about Sutton-Barto book on reinforcement-learning-an-introduction. In this book, you will find a lot of examples, on Q learning using table as well as with neural-network.
There are also comparison between many other algorithm like SARSA, TD, Q, value-function etc. In that link, you will find code repository which have solution of almost all problem from the book.
Feel free to ask question.
add a comment |
You may have heard about Sutton-Barto book on reinforcement-learning-an-introduction. In this book, you will find a lot of examples, on Q learning using table as well as with neural-network.
There are also comparison between many other algorithm like SARSA, TD, Q, value-function etc. In that link, you will find code repository which have solution of almost all problem from the book.
Feel free to ask question.
You may have heard about Sutton-Barto book on reinforcement-learning-an-introduction. In this book, you will find a lot of examples, on Q learning using table as well as with neural-network.
There are also comparison between many other algorithm like SARSA, TD, Q, value-function etc. In that link, you will find code repository which have solution of almost all problem from the book.
Feel free to ask question.
answered Jan 19 at 20:39
Ankish BansalAnkish Bansal
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