Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java
β Scribed by Farrukh Akhtar
- Publisher
- Packt Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 601
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
openai; openaigym; reinforcement learning; openai gym; open ai gym; python; ΠΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅; Π―Π·ΡΠΊΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ
π SIMILAR VOLUMES
<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
<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
<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