IEEE

Real-Time Adaptive Code Analysis with a Self-Learning Multi-Agent Framework: A Retrieval-Augmented Reinforcement Learning Approach

Abstract: Large Language Models (LLMs) have transformed code generation, debugging, and security analysis, yet their application in real-time, comprehensive code review remains under explored. This ...
GitHub

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...
Analytics Insight

Best Python Libraries for Business Growth in 2026

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
GitHub

Reinforcement Learning

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3 ...
IEEE

RLCoder: Reinforcement Learning for Repository-Level Code Completion

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...