Adversarial Reinforcement Learning

AI Agent Daily Digest 2025-10-15: Comprehensive Insights on Large Models, Papers, Open Source Frameworks, and Industry Trends

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Today’s daily report includes today’s popular AI frameworks on GitHub, new models from HuggingFace, industry insights, and several interesting papers selected from arXiv. The main focus of our current era is the condensation of information, and with the overwhelming amount of information available, this daily report provides an overview of the open-source frameworks, models, and … Read more

AI Paper Daily | Multimodal Agent Explosion: Tool Reasoning, Early Experience, Breakthroughs in Autonomous Learning

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Multimodal Large Models × Agent × New Progress in Model AlignmentSource: AI Algorithm Society · Daily Selection of Cutting-Edge AI Papers 📌 Today’s Summary Today, we have compiled 3 papers, mainly focusing on: 🧩 Multimodal Large Models (MMFM) 🤖 Basic Agent Models (Tool/Action Models) ⚙️ Multimodal SFT/Preference Alignment 🧾 Paper List 1. MATRIX: Multimodal Agent … Read more

AI Agents: The Core Engine Reshaping the Intelligent Future

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1. Technological Breakthroughs and Architectural Evolution of AI Agents1. Technological Leap: An Efficiency Revolution from “Teaching Mode” to “Practical Training”The “learning method” of AI Agents has undergone a critical upgrade: early supervised fine-tuning (SFT) was like a teacher guiding students through problems, relying on manually labeled data for learning.Now, reinforcement feedback tuning (RFT) resembles athletes … Read more

AI Agents as a Significant Development Direction in the Field of Artificial Intelligence

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AI Agents as a Significant Development Direction in the Field of Artificial Intelligence

Trend 01 Reinforcement Learning: Leading New Breakthroughs in Large Model Inference and Action Capabilities Reinforcement Learning (RL) is triggering a profound paradigm shift in the field of large language models.Currently, the application of reinforcement learning in large language models is evolving from the initial human feedback reinforcement learning (RLHF)⸺primarily aimed at aligning model outputs with … Read more

The Humanoid Robot Motor Cortex: A Reinforcement Learning Trained Controller

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The Humanoid Robot Motor Cortex: A Reinforcement Learning Trained Controller

This is an online article from Professor Alan Fern of Oregon State University, dated August 25, titled “The Emerging Humanoid Motor Cortex: An Inventory of RL-Trained Controllers”. Human coordinated movement does not solely originate from a conscious planning center. When a person decides to cross a room or reach for a cup, it is not … Read more

The Arrival of AI Agent’s ‘DeepSeek Moment’

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The Arrival of AI Agent's 'DeepSeek Moment'

Recently, a Chinese team launched the world’s first general-purpose AI Agent—Manus AI, which has quickly ignited the tech community. It is not just a simple text generation tool, but an ‘intelligent intern’ capable of autonomously planning, executing complex tasks, and delivering complete results. NVIDIA CEO Jensen Huang clearly stated at the GTC conference that: Agentic … Read more

Robots with ‘Flying Kicks’ Remain Steady! A New Framework Proposed by Wang He in Collaboration with Tsinghua University, Peking University, Galaxy General, and Qizhi Research Institute

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Robots with 'Flying Kicks' Remain Steady! A New Framework Proposed by Wang He in Collaboration with Tsinghua University, Peking University, Galaxy General, and Qizhi Research Institute

[Image][Image]Written by Ding Lingbo. For robots to achieve general usability, they must operate stably in real-world scenarios to cope with various dynamic disturbances, including terrain changes, external forces, and alterations in their own physical properties. To achieve this goal, domestic researchers have recently proposed an innovative two-stage reinforcement learning (RL) framework: Any2Track, which can track … Read more

CS106L: What Are the Most Promising Industries After Mastering C++ in 2025?

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CS106L: What Are the Most Promising Industries After Mastering C++ in 2025?

CS106L is a great introductory course for C++, but the course content and assignment intensity are far from the hiring requirements of companies. 1) Correct but Useless Mastering any programming language makes it difficult to directly find a good job, let alone with the qualifier “mastering”. This question seems valuable, but it merely satisfies the … Read more

Humanoid Robot Learns to Swing in 20 Minutes! Stanford University Releases Open-Source Soft-Hardware Collaborative System RTR | CoRL 2025

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Humanoid Robot Learns to Swing in 20 Minutes! Stanford University Releases Open-Source Soft-Hardware Collaborative System RTR | CoRL 2025

RTR Team Submission Intelligent Gorilla Robot Compilation Author Introduction:The co-first authors of this article are Hu Kaizhe, a PhD student from Tsinghua University’s Institute for Interdisciplinary Information Research, and PhD students Shi Haochen from Stanford University, C. Karen Liu, and Shuran Song.The article was completed during Hu Kaizhe’s visit to Stanford University. The corresponding authors … Read more

A Decade of Innovation: A Huawei Researcher’s Journey from Breakthroughs to Practical Applications

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A Decade of Innovation: A Huawei Researcher's Journey from Breakthroughs to Practical Applications

From Breakthrough to Implementation: The Journey of a Researcher–By | Yan Siyu– With my left hand supporting the table, my knuckles tense, I create a stable arch for the cue; my right hand firmly grips the end of the cue, I hold my breath, gather strength, and push the cue. With a crisp strike, the … Read more