Soft Adaptive Policy Optimization Nov

Media Summary: In this AI Research Roundup episode, Alex discusses the paper: ' Nika Haghtalab (UC Berkeley) Joint IFML/CCSI Symposium. Paper: Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-

Soft Adaptive Policy Optimization Nov - Detailed Analysis & Overview

In this AI Research Roundup episode, Alex discusses the paper: ' Nika Haghtalab (UC Berkeley) Joint IFML/CCSI Symposium. Paper: Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off- Hands-on whiteboard session on every step of the PPO algorithm! *Support me by buying a copy of the whiteboard:* ... References Bahlous-Boldi, Ryan et al. 2026. Vector Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart ...

Kianté Brantley (Harvard University) The Future of ... The following are video lectures associated with the textbook "Data-Driven Modeling and Scientific Computation" by J. Nathan ...

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Soft Adaptive Policy Optimization (Nov 2025)

SAPO: Stable RL Policy Optimization for LLMs

Soft Adaptive Policy Optimization

Proximal Policy Optimization (PPO) for LLMs Explained Intuitively

Learning and Optimization with Adaptive Smoothed Adversaries

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Simply Explaining Proximal Policy Optimization (PPO) | Deep Reinforcement Learning

An introduction to Policy Gradient methods - Deep Reinforcement Learning

SAPO: Stable RL for Large Language Models

[Zundamon's AI Paper Explained #48] Vector Policy Optimization: Training for Diversity Improves...

Proximal Policy Optimization (PPO) - How to train Large Language Models

Eﬃcient Policy Optimization Techniques for LLMs

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Soft Adaptive Policy Optimization (Nov 2025)

Soft Adaptive Policy Optimization (Nov 2025)

Title:

SAPO: Stable RL Policy Optimization for LLMs

SAPO: Stable RL Policy Optimization for LLMs

In this AI Research Roundup episode, Alex discusses the paper: '

Soft Adaptive Policy Optimization

Soft Adaptive Policy Optimization

Soft Adaptive Policy Optimization

Proximal Policy Optimization (PPO) for LLMs Explained Intuitively

Proximal Policy Optimization (PPO) for LLMs Explained Intuitively

In this video, I break down Proximal

Learning and Optimization with Adaptive Smoothed Adversaries

Learning and Optimization with Adaptive Smoothed Adversaries

Nika Haghtalab (UC Berkeley) https://simons.berkeley.edu/talks/tba-146 Joint IFML/CCSI Symposium.

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Paper: Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-

Simply Explaining Proximal Policy Optimization (PPO) | Deep Reinforcement Learning

Simply Explaining Proximal Policy Optimization (PPO) | Deep Reinforcement Learning

Hands-on whiteboard session on every step of the PPO algorithm! *Support me by buying a copy of the whiteboard:* ...

An introduction to Policy Gradient methods - Deep Reinforcement Learning

An introduction to Policy Gradient methods - Deep Reinforcement Learning

In this episode I introduce

SAPO: Stable RL for Large Language Models

SAPO: Stable RL for Large Language Models

This video explains

[Zundamon's AI Paper Explained #48] Vector Policy Optimization: Training for Diversity Improves...

[Zundamon's AI Paper Explained #48] Vector Policy Optimization: Training for Diversity Improves...

References Bahlous-Boldi, Ryan et al. 2026. Vector

Proximal Policy Optimization (PPO) - How to train Large Language Models

Proximal Policy Optimization (PPO) - How to train Large Language Models

Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart ...

Eﬃcient Policy Optimization Techniques for LLMs

Eﬃcient Policy Optimization Techniques for LLMs

Kianté Brantley (Harvard University) https://simons.berkeley.edu/talks/kiante-brantley-harvard-university-2025-04-04 The Future of ...

Chapter 19.3 - Policy Optimization

Chapter 19.3 - Policy Optimization

The following are video lectures associated with the textbook "Data-Driven Modeling and Scientific Computation" by J. Nathan ...