Frontiers

Artificial Intelligence in Education: Reinforcement Learning and Human-AI Collaboration in AI-Driven Education

The integration of artificial intelligence within education has led to a new era of personalized and adaptive learning, fundamentally changing classroom ...
Tech Xplore

The AI that taught itself: How AI can learn what it never knew

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...
WinBuzzer

New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
Analytics Insight

Best Python Libraries for Business Growth in 2026

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...
IEEE

Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases

Abstract: As a form of artificial intelligence (AI) technology based on interactive learning, deep reinforcement learning (DRL) has been widely applied across various fields and has achieved ...

Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
IEEE

Creating Multi-level AI Racing Agents Using a Combination of Imitation and Reinforcement Learning and Analyzing Similarity Using Cross-Correlation

Abstract: This study explores creating AI opponents for a basic car racing game using Unreal Engine 5 (UE5). The main goal is to make AI opponents that act like human players, giving gamers a fun ...