Hands-on intelligent agents with OpenAI Gym

Hands-on intelligent agents with OpenAI Gym

Enregistré dans:

Détails bibliographiques
Auteur principal:	Palanisamy, Praveen. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Hands-On Intelligent Agents with OpenAI Gym / Praveen Palanisamy

Documents similaires

OpenAI API Cookbook : Build intelligent applications including chatbots, virtual assistants, and content generators
par: Habib, Henry.

Modern generative AI with ChatGPT and OpenAI models : leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
par: Alto, Valentina (19..-....).

Power BI Machine Learning and OpenAI : Explore data through business intelligence, predictive analytics, and text generation
par: Beaumont, Greg.

Hands-On Q-Learning with Python : Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
par: Habib, Nazia.
Publié: (2019)

Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2018)

TensorFlow 2 Reinforcement Learning Cookbook : Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
par: Palanisamy, Praveen.
Publié: (2021)

Brain gym : le mouvement, clé de l'apprentissage
par: Dennison, Paul Ehrlich.
Publié: (2010)

Gym cerveau : une technique, un état d'esprit
par: Le Poncin, Monique.
Publié: (2002)

Les agents intelligents
par: Mathieu, Philippe.
Publié: (2005)

OpenCV for secret agents : use OpenCV in six secret projects to augment your home, car, phone, eyesight, and any photo or drawing
par: Howse, Joseph.
Publié: (2015)

Responsible AI in the Enterprise : Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI
par: Masood, Adnan.

OpenCV 4 for Secret Agents : Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers
par: Howse, Joseph.
Publié: (2019)

Faire de la gym en maternelle
par: Martens, Birgen.
Publié: (2015)

AI & ML - Powering the Agents of Automation : Demystifying, IOT, Robots, ChatBots, RPA, Drones & Autonomous Cars - The new workforce led Digital Reinvention facilitated by AI & ML and secured through Blockchain
par: Cuddapah, Vijay.

Hands-on artificial intelligence for beginners : an introduction to AI concepts, algorithms, and the irimplementation
par: Smith, Patrick D..
Publié: (2018)

Hands-On Explainable AI (XAI) with Python : Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
par: Rothman, Denis.
Publié: (2020)

Automating open source intelligence : algorithms for OSINT
Publié: (2015)

Hands-On Artificial Intelligence for Cybersecurity : Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
par: Parisi, Alessandro.
Publié: (2019)

Business intelligence open-source : avec Metabase
par: Deschamps, Romain.
Publié: (2021)

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
par: Dutta, Sayon.
Publié: (2018)

Hands-On Artificial Intelligence with Unreal Engine : Everything you want to know about Game AI using Blueprints or C++
par: Sapio, Francesco.
Publié: (2019)

Hands-on GPU-accelerated computer vision with OpenCV and CUDA
par: Vaidya, Bhaumik.
Publié: (2018)

Hands-On Artificial Intelligence on Amazon Web Services : Decrease the time to market for AI and ML applications with the power of AWS
par: Tripuraneni, Subhashini.
Publié: (2019)

Hands-on artificial intelligence for search : building intelligent applications and perform enterprise searches
par: Patel, Devangini.
Publié: (2018)

The Secret Agent
par: Conrad, Joseph, 1857-1924.
Publié: (1991)

Anticandidal agents
par: Kumar, Awanish.
Publié: (2016)

Python reinforcement learning : solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
Publié: (2019)

Python for secret agents : analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents
par: Lott, Steven F..
Publié: (2014)

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2020)

Hands-On Artificial Intelligence for Banking : A practical guide to building intelligent ﬁnancial applications using machine learning techniques
par: Ng, Jeffrey.
Publié: (2020)

Intelligent Reliability Analysis Using MATLAB and AI : Perform Failure Analysis and Reliability Engineering using MATLAB and Artificial Intelligence
par: Bhargava, Cherry (19..-).

Arduino for secret agents
par: Schwartz, Marco (19..-....; spécialiste en génie électrique).
Publié: (2015)

Python for secret agents.
par: Lott, Steven F..
Publié: (2015)

Anti-viral agents
par: Clercq, Eric De.
Publié: (2013)

Databook of nucleating agents
par: Wypych, Anna (1937-....).
Publié: (2016)

Handbook of nucleating agents
par: Wypych, George (1941-....).
Publié: (2016)

Le plaisir d'apprendre en mouvement avec le Brain Gym : Approche éducative pour tous
par: Albert, Muriel, 19..-...., collectrice.
Publié: (2014)

Using Open Source Platforms for Business Intelligence Avoid Pitfalls and Maximize ROI
par: Wise, Lyndsay.
Publié: (2012)

L'agent secret
par: Greene, Graham, 1904-1991.
Publié: (1959)

AI Crash course : a fun and hands-on introduction to reinforcement learning, deep learning, and artificial intelligence with Python
par: Ponteves, Hadelin de.
Publié: (2019)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1