𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java

✍ Scribed by Farrukh Akhtar


Publisher
Packt Publishing
Year
2017
Tongue
English
Leaves
601
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects


openai; openaigym; reinforcement learning; openai gym; open ai gym; python; ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅; Π―Π·Ρ‹ΠΊΠΈ программирования


πŸ“œ SIMILAR VOLUMES


Hands-On Intelligent Agents with OpenAI
✍ Praveen Palanisamy πŸ“‚ Library πŸ“… 2018 πŸ› Packt Publishing 🌐 English

<p><b>Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator</b></p><h4>Key Features</h4><ul><li>Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks

Deep Reinforcement Learning with Python:
✍ Nimish Sanghi πŸ“‚ Library πŸ“… 2021 πŸ› Apress 🌐 English

<div><div><div>Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exerci

Deep Reinforcement Learning with Python:
✍ Nimish Sanghi πŸ“‚ Library πŸ“… 2021 πŸ› Apress 🌐 English

<div><div><div>Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exerci