Objective Quantification of Agent Intelligence in Power Control

Objective Quantification of Agent Intelligence in Power Control

Click the text at the bottom left corner “Read the Original” to jump to IEEE Xplore to view the paper on your mobile! ✦ ✦ This paper addresses the issue of how to improve the effectiveness of power grid control by enhancing the intelligence level of agents. It proposes a theory and method for the … Read more

What Innovations Has DeepSeek Made?

What Innovations Has DeepSeek Made?

Copyright Statement Reprinted from Finance Magazine, copyright belongs to the original author, only for academic sharing. If there is any infringement, please leave a message for deletion. Artificial intelligence is currently in a period of explosive innovation; only through continuous innovation can one remain at the center of the stage. Written by Mark, Executive Editor … Read more

What Is Deep Reinforcement Learning?

What Is Deep Reinforcement Learning?

The coolest branch of machine learning is probably deep learning (Deeplearning) and reinforcement learning (Reinforcement learning). Deep Learning Deep learning is an algorithm that models the implicit distribution of data in machine learning through multi-layer representations. In other words, deep learning algorithms automatically extract low-level or high-level features required for classification. Therefore, deep learning can … Read more

Understanding Embodied Robotic Arms Through Diffusion Policy

0. Introduction This article introduces the “Diffusion Policy,” a new method for generating robot behaviors that represents the robot’s visuomotor policy as a conditional denoising diffusion process. It has been benchmarked across 15 different tasks in 4 different robot manipulation benchmarks, showing consistent superiority over existing state-of-the-art robot learning methods, with an average improvement of … Read more

Artificial Intelligence and Machine Learning: A Discussion on ChatGPT

Artificial Intelligence and Machine Learning: A Discussion on ChatGPT

At the end of 2022, a new AI chatbot named ChatGPT was launched by OpenAI, followed by the release of its next-generation model, GPT-4, in the subsequent months. This chatbot can not only query various materials like a search engine but also create poetry and scripts, write essays, and code programs. It can fluently understand … Read more

Detailed Explanation of ChatGPT and InstructGPT

Detailed Explanation of ChatGPT and InstructGPT

Source: JD Cloud Dolphin Data Science Lab This article is approximately 7000 words long, suggested reading time is 15 minutes. To understand ChatGPT, we must first understand InstructGPT. Introduction The GPT series is a series of pre-trained models from OpenAI, where GPT stands for Generative Pre-Trained Transformer. As the name suggests, the purpose of GPT … Read more

DeepSeek and KiMi: Large Model Inference

Overview:Recently, with the rising popularity of large models such as DeepSeek and KiMi, the related technologies and topics of large model inference have become a focal point. These models not only demonstrate strong capabilities in fields such as natural language processing and computer vision, but also drive the rapid development of intelligent dialogue, content generation, … Read more

Introduction to AI Agents: Understanding Intelligent Entities

Introduction to AI Agents: Understanding Intelligent Entities

Happy Mother’s Day to all mothers around the world! ❀✿✿ヽ(°▽°)ノ✿!! Every year, some buzzwords emerge in the field of artificial intelligence technology. In 2022, it was AIGC, with stunning results from text-to-image models; in 2023, the focus shifted to large language models (LLM) and ChatGPT, which further advanced AI algorithms’ understanding of human intentions. At … Read more

Prompt-Based Reinforcement Learning for Next Item Recommendation Systems

Prompt-Based Reinforcement Learning for Next Item Recommendation Systems

Introduction The Next item recommendation system is one of the core components of modern online services, embedded in applications such as music, video, and e-commerce websites, helping users navigate and discover new content. Generally, the system is modeled as a sequence prediction task, often implemented over recurrent neural networks or other generative sequence models. Its … Read more

In-Depth Analysis of DeepSeek by Tsinghua Professor

In-Depth Analysis of DeepSeek by Tsinghua Professor

Recently, CCF-Talk held an online seminar themed “Night Talk on DeepSeek: Technical Principles and Future Directions”. Associate Professor Liu Zhiyuan from Tsinghua University and Chief Scientist of Benwall Intelligence was one of the speakers, delivering an exciting presentation on “Technical Principles of Large Model Reinforcement Learning and Insights on Large Model Technology Development“. Liu Zhiyuan … Read more