Mirage News

Photonic Spiking AI Boosts Smart Routing Efficiency

Announcing a new publication from Opto-Electronic Sciences; DOI 10.29026/oes.2026.260005 .Intelligent routing is critical for data centers and 6G but ...
The Guardian

I took an algorithm to court in Sweden. The algorithm won

Gothenburg promised to optimise school admissions with a piece of code. The resulting chaos showed how unaccountable systems are ruining lives We like to imagine that injustice announces itself loudly ...
IEEE

Enhanced Policy Update Mechanism for PPO-Inspired Algorithms in Intelligent Agent-Based Games

Abstract: In this paper, we propose KL-Beyond-Clip PPO (KLBC-PPO), a novel algorithm derived from PPO, designed to offer a more efficient policy update mechanism. The PPO-Clip algorithm limits the ...
GitHub

Comparing a classical Destination Dispatching algorithm against a PPO-trained reinforcement learning agent in a custom-built Gymnasium simulation environment.

elevator-ai/ ├── environment/ │ ├── building.py # Core simulation entities │ ├── elevator_env.py # Gymnasium environment │ └── traffic_patterns.py # Probabilistic passenger spawning ├── agents/ │ ├── ...
marktechpost

RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement Learning

LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms for LLMs, including GRPO, VinePPO, and Leave-one-out PPO, have ...
marktechpost

ByteDance Introduces VAPO: A Novel Reinforcement Learning Framework for Advanced Reasoning Tasks

In the Large Language Models (LLM) RL training, value-free methods like GRPO and DAPO have shown great effectiveness. The true potential lies in value-based methods, which allow more precise credit ...
chromatographyonline

The Column: Improving LC Method Development Using Machine Learning

Reinforcement learning was tested as a means of improving liquid chromatography method development. Researchers from KU Leuven and Vrije Universiteit Brussel are advancing the use of reinforcement ...
chromatographyonline

Improving LC Method Development Using Machine Learning

Reinforcement learning was tested as a means of improving liquid chromatography method development. KU Leuven and Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement ...
Frontiers

Learning-driven load frequency control for islanded microgrid using graph networks-based deep reinforcement learning

As the complexity of microgrid systems, the randomness of load disturbances, and the data dimensionality increase, traditional load frequency control methods for microgrids are no longer capable of ...