Recent research shows that Preference Alignment (PA) objectives act as divergence estimators between aligned (chosen) and unaligned (rejected) response distributions. In this work, we extend this divergence-based perspective to general alignment settings, such as reinforcement learning with verifiable rewards (RLVR), where only environmental rewards are available. Within this unified framework, we propose $f$-Group Relative Policy Optimization ($f$-GRPO), a class of on-policy reinforcement learning, and $f$-Hybrid Alignment Loss ($f$-HAL), a hybrid on/off policy objectives, for general LLM alignment based […]

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Introduction Writing with AI assistance is not the same as writing by AI. When you write directly with AI, you’re prompting it to generate content from scratch. When you write with AI assistance, you remain the author—AI simply helps refine your work rather than doing most of it for you. The Problem with Full AI Generation Yes, you can create a story from scratch using AI prompts, but the result will likely be short and won’t capture exactly […]

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Introduction Disclaimer: This article is a cross post from Pytorch Medium Blog Post. One of the most exciting advancements, that has pushed the frontier of the Artificial Intelligence (AI) in recent years, is Deep Reinforcement Learning (DRL). DRL belongs to the family of machine learning algorithms. It assumes that intelligent machines can learn from their actions similar to the way humans learn from experience. Over the recent years we could witness some impressive real-world applications of DRL. The […]

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’m scoping out a topic on robotic clothes folding and need a sanity check on my proposed stack. I’m thinking of combining a VLA (Vision-Language-Action) foundation model for semantic reasoning, SERL (Sample Efficient RL) for fine-tuning the physical manipulation, and DAgger / HIL for human-in-the-loop corrections during out-of-distribution states. I want to know if this is actually feasible ? any landmines I might runinto ? submitted by /u/Ok_Abbreviations2264 [link] [comments]

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Gwtar: a static efficient single-file HTML format Fascinating new project from Gwern Branwen and Said Achmiz that targets the challenge of combining large numbers of assets into a single archived HTML file without that file being inconvenient to view in a browser. The key trick it uses is to fire window.stop() early in the page to prevent the browser from downloading the whole thing, then following that call with inline tar uncompressed content. It can then make HTTP […]

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