Quick Overview: In this AI Research Roundup episode, Alex discusses the paper: ' Hands-on whiteboard session on every step of the PPO algorithm! *Support me by buying a copy of the whiteboard:* ... In this video, I break down DeepSeek's Group Relative

Soft Adaptive Policy Optimization - Detailed Overview & Context

In this AI Research Roundup episode, Alex discusses the paper: ' Hands-on whiteboard session on every step of the PPO algorithm! *Support me by buying a copy of the whiteboard:* ... In this video, I break down DeepSeek's Group Relative Lecture 4 of a 6-lecture series on the Foundations of Deep RL Topic: Trust Region Let's talk about a Reinforcement Learning Algorithm that ChatGPT uses to learn: Proximal MAE 248: Safety for Autonomous Systems Guest Lecturer: Oswin So, PhD student in REALM at MIT,

To learn more about enrolling in the graduate course, visit: ... Paper: Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off- Kianté Brantley (Harvard University) The Future of ... The machine learning consultancy: Join my email list to get educational and useful articles (and nothing else!) Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart ...

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Soft Adaptive Policy Optimization (Nov 2025)
Soft Adaptive Policy Optimization
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An introduction to Policy Gradient methods - Deep Reinforcement Learning
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Proximal Policy Optimization (PPO) for LLMs Explained Intuitively
DeepSeek's GRPO (Group Relative Policy Optimization) | Reinforcement Learning for LLMs
L4 TRPO and PPO (Foundations of Deep RL Series)
Proximal Policy Optimization Explained
Proximal Policy Optimization | ChatGPT uses this
SAPO: Stable RL for Large Language Models
Oswin So - Policy Optimization under Specifications with Reinforcement Learning
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