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Deep Reinforcement Learning with Python, 2nd Edition [Repost]

Posted By: IrGens
Deep Reinforcement Learning with Python, 2nd Edition [Repost]

Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition by Sudharsan Ravichandiran
English | September 30, 2020 | ISBN: 1839210680 | True EPUB/PDF | 760 pages | 27.8/27.3 MB

Reinforcement Learning with Python Explained for Beginners

Posted By: IrGens
Reinforcement Learning with Python Explained for Beginners

Reinforcement Learning with Python Explained for Beginners
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 9h 7m | 8.18 GB
Instructors: Aly Saleh , Murat Karslioglu

The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert

Posted By: AvaxGenius
The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert

The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert by Zoltán Somogyi
English | PDF,EPUB | 2021 | 448 Pages | ISBN : 3030600319 | 91.5 MB

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming.

Neural Information Processing (Repost)

Posted By: AvaxGenius
Neural Information Processing (Repost)

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part VI By Derong Liu
English | PDF | 2017 | 928 Pages | ISBN : 3319701355 | 101.1 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Neural Information Processing (Repost)

Posted By: AvaxGenius
Neural Information Processing (Repost)

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III By Derong Liu
English | PDF | 2017 | 953 Pages | ISBN : 3319700898 | 207.7 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Reinforcement Learning Algorithms: Analysis and Applications

Posted By: AvaxGenius
Reinforcement Learning Algorithms: Analysis and Applications

Reinforcement Learning Algorithms: Analysis and Applications by Boris Belousov
English | PDF | 2021 | 197 Pages | ISBN : 3030411877 | 9.9 MB

This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.

Learning to Play: Reinforcement Learning and Games

Posted By: roxul
Learning to Play: Reinforcement Learning and Games

Aske Plaat, "Learning to Play: Reinforcement Learning and Games"
English | ISBN: 3030592375 | 2020 | 343 pages | PDF | 18 MB

Advances on Smart and Soft Computing: Proceedings of ICACIn 2020

Posted By: AvaxGenius
Advances on Smart and Soft Computing: Proceedings of ICACIn 2020

Advances on Smart and Soft Computing: Proceedings of ICACIn 2020 by Faisal Saeed
English | PDF | 2021 | 640 Pages | ISBN : 9811560471 | 22.7 MB

This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACIn 2020), held in Casablanca, Morocco, on April 12–13, 2020.

Modern Reinforcement Learning: Actor-Critic Methods

Posted By: Sigha
Modern Reinforcement Learning: Actor-Critic Methods

Modern Reinforcement Learning: Actor-Critic Methods
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 3.47 GB
Genre: eLearning Video | Duration: 58 lectures (8 hour, 10 mins) | Language: English

How to Implement Cutting Edge Artificial Intelligence Research Papers in the Open AI Gym Using the PyTorch Framework

Coursera - Reinforcement Learning Specialization by University of Alberta

Posted By: kabino
Coursera - Reinforcement Learning Specialization by University of Alberta

Coursera - Reinforcement Learning Specialization by University of Alberta
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 4.66 Gb | Materials: PDF
Genre: eLearning Video | Duration: 13h 18m | Language: English

Master the Concepts of Reinforcement Learning. Implement a complete RL solution and understand how to apply AI tools to solve real-world problems.

Adaptive Representations for Reinforcement Learning

Posted By: AvaxGenius
Adaptive Representations for Reinforcement Learning

Adaptive Representations for Reinforcement Learning by Shimon Whiteson
English | PDF | 2010 | 127 Pages | ISBN : 3642139310 | 5.25 MB

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typically rely on manually designed solution representations, agents that automatically adapt their own representations have the potential to dramatically improve performance.

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning

Posted By: AvaxGenius
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning by Abhijit Gosavi
English | PDF(Repost),EPUB | 2015 | 530 Pages | 1489974903 | 9 MB

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Repost)

Posted By: AvaxGenius
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Repost)

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains by Todd Hester
English | PDF | 2013 | 170 Pages | ISBN : 3319011677 | 6.04 MB

This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time.

Reinforcement Learning: Aktuelle Ansätze verstehen - mit Beispielen in Java und Greenfoot

Posted By: AvaxGenius
Reinforcement Learning: Aktuelle Ansätze verstehen - mit Beispielen in Java und Greenfoot

Reinforcement Learning: Aktuelle Ansätze verstehen - mit Beispielen in Java und Greenfoot by Uwe Lorenz
Deutsch | EPUB | 2020 | 184 Pages | ISBN : 3662616505 | 12.8 MB

In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren. Robotische Systeme üben ihre Bewegungen selbst. In Arcade Games erreichen lernfähige Agenten innerhalb weniger Stunden übermenschliches Niveau. Wie funktionieren diese spektakulären Algorithmen des bestärkenden Lernens?

Reinforcement Learning of Bimanual Robot Skills

Posted By: AvaxGenius
Reinforcement Learning of Bimanual Robot Skills

Reinforcement Learning of Bimanual Robot Skills by Adrià Colomé
English | EPUB | 2020 | 192 Pages | ISBN : 3030263258 | 33.37 MB

This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes.