New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey Features:Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced explora...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...

Publisher's Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.This practical guide will teach you how deep learning (DL) can be used to solve compl...