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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

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Zen Revista

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87 papers indexed here

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#diffusion models Review Open access Aug 2026

Painting with Probability: A Narrative Review of Deep Generative Models from Variational Autoencoders to Latent Diffusion

Deep generative models---neural networks that learn data's distribution and sample from it---matured from variational autoencoders' latent geometry to diffusion models' state-of-the-art images. This article presents a narrative review of that arc's canonical line: Kingma and Welling's 2013 auto-encoding variational Bay...

Zen Revista, 10 IA · 0 citations
#graph neural networks Review Open access Aug 2026

Learning on Edges: A Narrative Review of Graph Neural Networks from Recursive Networks to Geometric Deep Learning

Graph neural networks---learning over relational, irregular structure by passing messages between nodes---generalized deep learning's grids to the graph: molecules, social networks, knowledge bases, and the web. This article presents a narrative review of that arc's canonical line: Sperduti and Starita's 1997 structure...

Zen Revista, 10 IA · 0 citations
#graph neural networks Review Open access Aug 2026

Learning on Edges: A Narrative Review of Graph Neural Networks from Recursive Networks to Geometric Deep Learning

Graph neural networks---learning over relational, irregular structure by passing messages between nodes---generalized deep learning's grids to the graph: molecules, social networks, knowledge bases, and the web. This article presents a narrative review of that arc's canonical line: Sperduti and Starita's 1997 structure...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Worlds Without Handcrafted Limits: A Narrative Review of Procedural Content Generation from Perlin Noise to Machine Learning

Procedural content generation (PCG)---the algorithmic creation of game levels, terrain, quests, and rules---has evolved from a memory-saving trick into one of game development's most active research areas. This article presents a narrative review of the field's canonical line: Perlin's 1985 image synthesizer, the searc...

Zen Revista, 10 GAME · 0 citations
#reinforcement learning Open access Aug 2026

Key Developments in Reinforcement Learning in Robotics and Practical Implications: A Comprehensive Survey

This narrative review examines the current state of knowledge regarding Reinforcement Learning in Robotics within the broader context of Artificial Intelligence. We survey the theoretical foundations, methodological approaches, and key findings that have shaped the field, identifying major themes and tracing the evolut...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Worlds Without Handcrafted Limits: A Narrative Review of Procedural Content Generation from Perlin Noise to Machine Learning

Procedural content generation (PCG)---the algorithmic creation of game levels, terrain, quests, and rules---has evolved from a memory-saving trick into one of game development's most active research areas. This article presents a narrative review of the field's canonical line: Perlin's 1985 image synthesizer, the searc...

Zen Revista, 10 GAME · 0 citations
#reinforcement learning Open access Aug 2026

Key Developments in Reinforcement Learning in Robotics and Practical Implications: A Comprehensive Survey

This narrative review examines the current state of knowledge regarding Reinforcement Learning in Robotics within the broader context of Artificial Intelligence. We survey the theoretical foundations, methodological approaches, and key findings that have shaped the field, identifying major themes and tracing the evolut...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Learning by Consequence: A Narrative Review of Reinforcement Learning from Thorndike's Law of Effect to Deep Q-Networks and AlphaGo

Reinforcement learning---learning what to do from reward and punishment rather than from instruction---unifies animal psychology, optimal control, and machine learning into one computational program, and its deep-learning era delivered the field's most visible artificial intelligence achievements. This article presents...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Learning by Consequence: A Narrative Review of Reinforcement Learning from Thorndike's Law of Effect to Deep Q-Networks and AlphaGo

Reinforcement learning---learning what to do from reward and punishment rather than from instruction---unifies animal psychology, optimal control, and machine learning into one computational program, and its deep-learning era delivered the field's most visible artificial intelligence achievements. This article presents...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Learning by Watching: A Narrative Review of Imitation Learning from ALVINN to Generative Adversarial Imitation

Imitation learning---the learning of behavior from demonstrations instead of rewards---moved from Pomerleau's ALVINN driving network and Schaal's humanoid route through Ng and Russell's inverse reinforcement learning, Abbeel and Ng's apprenticeship learning, and Ziebart's maximum entropy to the robot learning from demo...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Learning Among Learners: A Narrative Review of Multi-Agent Reinforcement Learning from Markov Games to Deep Emergent Play

Multi-agent reinforcement learning---the learning of behavior when the environment's other agents learn too---moved from Tan's independent learners and Littman's Markov games framework through the cooperative dynamics' analyses and the surveys' question to the deep era's communication, actor-critics, value decompositio...

Zen Revista, 10 IA · 0 citations
#reinforcement learning Review Open access Aug 2026

Learning by Watching: A Narrative Review of Imitation Learning from ALVINN to Generative Adversarial Imitation

Imitation learning---the learning of behavior from demonstrations instead of rewards---moved from Pomerleau's ALVINN driving network and Schaal's humanoid route through Ng and Russell's inverse reinforcement learning, Abbeel and Ng's apprenticeship learning, and Ziebart's maximum entropy to the robot learning from demo...

Zen Revista, 10 IA · 0 citations

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