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.
Forbes

Leadership Amid Uncertainty: CEOs Can Learn Effective Decision Making From Reinforcement Learning

Leaders, whether in boardrooms or garages, constantly face an unchanging force: uncertainty. For a CEO, making a good decision always involves factoring in as much data as possible, and then trusting ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
acm.org

Shields for Safe Reinforcement Learning

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...
TechCrunch

The reinforcement gap — or why some AI skills improve faster than others

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
IEEE

GRFuzz: A Deep Reinforcement Learning Approach to Python Library Fuzzing with GRPO

Abstract: In the digital realm, ensuring the security and reliability of systems and software is of paramount importance. Fuzzing has emerged as one of the most effective testing techniques for ...
Inc

Anthropic Is Making It Easier to Learn How to Code

Anthropic’s Claude is getting a side gig as a tutor. The company has launched new modes for its two consumer-facing platforms, Claude.ai and Claude Code. The modes will enable Claude to not just ...
GitHub

The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning

This repo is forked from verl. We build our code on the dapo recipe. Before training, you need to ensure that the AIME, AIME25 and AMC datasets are with "data_source" of "aime", "aime25" and "amc" ...
Microsoft

Accelerating protein engineering with fitness landscape modeling and reinforcement learning

Protein engineering holds significant promise for designing proteins with customized functions, yet the vast landscape of potential mutations versus limited lab capacity constrains the discovery of ...
marktechpost

CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs

Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning (RL) and test-time scaling techniques. Despite outperforming traditional unit ...