Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
The Hechinger Report

The quest to build a better AI tutor

University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.
Purdue University

Machine Learning in Action: Tools, Techniques, and Industrial Cases

Machine Learning in Action: Tools, Techniques, and Industrial Cases Bring machine learning to life with Machine Learning in Action. This hands-on course teaches you how to build and apply eight key ...
Harvard Business Review

When Using AI Leads to “Brain Fry”

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...
Microsoft

UniRG: Scaling medical imaging report generation with multimodal reinforcement learning

AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...
IEEE

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

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 uncovering ...
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 ...
GitHub

Portfolio Optimization with Reinforcement Learning

portfolio-optimization-rl/ ├── src/ │ ├── envs/ │ │ └── portfolio_env.py # Portfolio optimization environments │ ├── agents/ │ │ └── rl_agents.py # RL agent implementations │ └── config.py # ...
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 ...
Phys.org

Carrion crows can learn precise tool use

Animal training can teach carrion crows to use a stick tool to retrieve food. With increasing practice, they not only demonstrate great skill and achieve their objective in a few steps, they also ...
blockchain

NVIDIA NeMo-RL Utilizes GRPO for Advanced Reinforcement Learning

NVIDIA introduces NeMo-RL, an open-source library for reinforcement learning, enabling scalable training with GRPO and integration with Hugging Face models. NVIDIA has unveiled NeMo-RL, a cutting-edge ...