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The best place to start for a general introduction (including algorithms) is Reinforcement Learning: An IntroductionReinforcement Learning: An Introduction by Sutton & Barto [0]. Another good one, focusing more on the algorithms is Algorithms of Reinforcement LearningAlgorithms of Reinforcement Learning by Szepesva [1]. Both are available for free online in PDF, see the links.

[0] http://incompleteideas.net/book/the-book-2nd.html

[1] https://sites.ualberta.ca/~szepesva/rlbook.html

The best place to start for a general introduction (including algorithms) is Reinforcement Learning: An Introduction by Sutton & Barto [0]. Another good one, focusing more on the algorithms is Algorithms of Reinforcement Learning by Szepesva [1]. Both are available for free online in PDF, see the links.

[0] http://incompleteideas.net/book/the-book-2nd.html

[1] https://sites.ualberta.ca/~szepesva/rlbook.html

The best place to start for a general introduction (including algorithms) is Reinforcement Learning: An Introduction by Sutton & Barto. Another good one, focusing more on the algorithms is Algorithms of Reinforcement Learning by Szepesva. Both are available for free online in PDF, see the links.

Source Link

The best place to start for a general introduction (including algorithms) is Reinforcement Learning: An Introduction by Sutton & Barto [0]. Another good one, focusing more on the algorithms is Algorithms of Reinforcement Learning by Szepesva [1]. Both are available for free online in PDF, see the links.

[0] http://incompleteideas.net/book/the-book-2nd.html

[1] https://sites.ualberta.ca/~szepesva/rlbook.html