This repository contains a detailed mindmap covering the fundamental concepts and advanced topics in Reinforcement Learning (RL). This mindmap was created as part of my personal learning journey to ...

South Korea’s Act on the Development of Artificial Intelligence and Establishment of Trust (AI Basic Act) took effect on January 22, 2026, joining the European Union AI Act as a comprehensive AI ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

Learn the foundations of calculus using simple math concepts that are easy to understand, even if you’re new to the subject. This guide breaks down limits, derivatives, and basic integrals using clear ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Dive into DeepSeek R1 and explore GRPO, reinforcement learning, and supervised fine-tuning (SFT) in an easy-to-understand way. Perfect for AI enthusiasts and beginners looking to grasp these concepts.

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...

What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning on new tasks often introduces catastrophic forgetting ...

ABSTRACT: This study presents a comprehensive clinical decision support system aimed at personalizing antidepressant treatment selection using synthetic patient data, predictive modelling, and ...

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled ...

We investigate Reinforcement Learning (RL) on Agentic search tasks without explicit gathering information from external search engines, e.g., LLMs, web engines. Previous work leverage external search ...