This study aims to describe the implementation of character values through Lampung folklore in Lampung language learning among fifth-grade students at SDN 3 Tegineneng, Pesawaran. A descriptive qualitative approach was employed, involving three purposively selected informants: one Lampung language teacher as the main i...
Mela Santika, Chairul Amriyah, Yudesta Erfayliana· Jurnal Ilmu Pendidikan dan S...· 0 citations
Orthopedic rehabilitation after upper-limb trauma increasingly emphasizes protected early motion, quantitative monitoring, and patient-specific assistance. This narrative review examines how reinforcement learning (RL) may contribute to wearable robotic systems for orthopedic rehabilitation, with emphasis on elbow-cent...
Yash Jayeshbhai Patel, Bikram Bhakat, Abhijeet Patel et al.· Zenodo (CERN European Organi...· 0 citations
Orthopedic rehabilitation after upper-limb trauma increasingly emphasizes protected early motion, quantitative monitoring, and patient-specific assistance. This narrative review examines how reinforcement learning (RL) may contribute to wearable robotic systems for orthopedic rehabilitation, with emphasis on elbow-cent...
Yash Jayeshbhai Patel, Bikram Bhakat, Abhijeet Patel et al.· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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Code accompanying the manuscript "Deep Reinforcement Learning for Drought-Resilient Operation of Agricultural Reservoirs" (submitted to Water Resources Management).
Qiang Gao, Hyunho Yang· Zenodo (CERN European Organi...· 0 citations
AgentCreditBench is a CPU-first conformance-test suite for turn-level credit assignment in agentic reinforcement learning. It compares GRPO, RLOO, GAE, GiGPO, Monte Carlo, and custom estimator outputs with exact policy advantages on tiny finite-horizon Markov decision processes, and separately evaluates the induced pol...
Yi Yan Ng· Zenodo (CERN European Organi...· 0 citations
In an era defined by extreme Volatility, Uncertainty, Complexity, and Ambiguity (VUCA), artificial intelligence (AI) governance must transcend passive compliance checklists to become an embedded, adaptive socio-technical architecture. This paper proposes a triadic synthesis of Reinforcement Learning (RL), Generative AI...
Gabriel Kabanda· Zenodo (CERN European Organi...· 0 citations
Data for "Auditing Single-Agent Reinforcement Learning for EV Charging Assignment: A Protocol-Amended Comparison of Trained, Untrained, and Heuristic Policies" Raw seed-level data and campaign manifests for a benchmark of five agents (Random, Adaptive Heuristic, Q-Learning, DQN, Double DQN) on EV charging-station assig...
This survey develops a unified taxonomy that systematically integrates learning paradigms, agent architectures, coordination mechanisms, deployment models, application domains, and evaluation frameworks from a common analytical perspective and provides a structured foundation for future advances in intelligent agent sy...
Elias Dritsas, M. Trigka· Evolutionary Intelligence· 0 citations
The Cognitive Familiarity Supremacy Theory (CFST) proposes that a substantial portion of human certainty, ideological attachment, collective identity formation, and perceived superiority emerges not primarily from objective rational evaluation, but from repeated familiarity encoding mechanisms operating within subconsc...
Shamiul Hoque Shan· Zenodo (CERN European Organi...· 0 citations
The literature supports a staged translational strategy centered on hierarchical control, conservative safety design, and clinically bounded personalization, which is most defensible as a supervisory or personalization layer that adapts assistance within hard constraints on torque, speed, and range of motion.
Y. Patel, Bikram Bhakat, Abhijeet Patel et al.· International Journal of Sci...· 0 citations
Primary Field Cybernetics: From Spectral-Phase Flow to a Symformic Theory of Control This article develops Primary Field Cybernetics (PFC) as a cybernetic theory derived from the ontology of Symformism and the field architecture of Dynamical Informational Field Theory (DIFT). Symformism treats an enduring form not as a...
Sławomir Krakowski· Zenodo (CERN European Organi...· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
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