One of the most active study topics in artificial intelligence is reinforcement learning, which is a computational method to learning in which an agent strives to maximize the overall amount of reward it receives while interacting with a complicated, unpredictable environment. Richard Sutton and Andrew Barto’s Reinforcement Learning provides a clear and basic introduction of the field’s core theories and techniques. This second version has been extensively enlarged and updated, with new topics included and existing ones updated.
This second edition, like the first, concentrates on key online learning algorithms, with extra mathematical information separated out in colored boxes. Part I includes as much reinforcement learning as feasible without going beyond the tabular case with exact solutions. There are several algorithms.
Reinforcement Learning, second edition: An Introduction Adaptive Computation and Machine Learning series 2nd Edition
SKU:
Read0128
Bradford Books
New
978-0262039246
by Richard S. Sutton
Paperback
New
978-0262039246
by Richard S. Sutton
Paperback
$99.00
10 in stock
10 in stock
Product details
Made possible by exploring innovative molded plywood techniques, Iskos-Berlin’s Soft Edge Chair blends strong curves with extreme lightness to create a three-dimensionality not usually possible with 2-D plywood.
Description
Customer Reviews
Rated 0 out of 5
0 reviews
Rated 5 out of 5
0
Rated 4 out of 5
0
Rated 3 out of 5
0
Rated 2 out of 5
0
Rated 1 out of 5
0
Be the first to review “Reinforcement Learning, second edition: An Introduction Adaptive Computation and Machine Learning series 2nd Edition” Cancel reply
Reviews
Clear filtersThere are no reviews yet.