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Deep Reinforcement Learning in Action
Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep reinforcement learning AI systems ra...
The Letters of John Greenleaf Whittier: 1828-1845
These letters of a man deeply concerned about his country, directly involved in political action, and torn, as the Civil War approached, by the conflict between his abolitionist zeal and his Quaker pacifism--letters here collected for the first time and many of them hitherto unpublished--shatter the stereotype of Whittier as "the good gray poet." The many letters to such figures as John Quincy Adams, Charles Sumner, and William Lloyd Garrison form a detailed record of the abolitionist movement from its inception to its merging with the Free Soil party in the 1850s. The first two volumes reproduce all the extant letters from 1828 to 1860, with full annotations. The last volume is selective, excluding several thousand perfunctory items and including only the historically or biographically interesting letters of the last three decades of the poet's life.
