GitHub

vincentkoc/airgapped-offfline-rag

This project by Vincent Koc implements a Retrieval-Augmented Generation (RAG) based Question-Answering system for documents. It uses Llama 3, Mistral, and Gemini models for local inference with LlaMa ...
IEEE

Conservative In-Distribution Q-Learning for Offline Reinforcement Learning

Abstract: Offline Reinforcement Learning (RL) aims to learn policies from pre-collected datasets without any additional interaction. In order to perform well and robustly in dynamic environments with ...
Windows Latest

Microsoft confirms it’s killing offline phone-based activation method for Windows 11 ...

In a statement to Windows Latest, Microsoft confirmed that it retired the traditional Windows “telephone-based” activation method, which truly worked offline. With a telephone-based approach, you ...
IEEE

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning

Abstract: Offline Reinforcement Learning (RL) methods leverage previous experiences to learn better policies than the behavior policy used for data collection. However, they face challenges handling ...