Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Frontiers

Intelligent path selection algorithm for tactical communication networks enhanced by link state awareness

In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...
GitHub

PPO for OpenAI Gym

This project implements a Proximal Policy Optimization (PPO) algorithm to train agents in OpenAI Gym environments. It includes modular support for environment configuration, checkpointing, and ...
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

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 ...
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 ...
IEEE

PPO Algorithm-Assisted Design of Absorptive Common-Mode Suppression Filters

Abstract: In this article, the common-mode suppression filters (CMF) are synthesized using deep reinforcement learning algorithm called proximal policy optimization (PPO). The Latin hypercube is ...
IEEE

Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments

Abstract: This research article presents a comparison between two mainstream Deep Reinforcement Learning (DRL) algorithms, Asynchronous Advantage Actor-Critic (A3C) and Proximal Policy Optimization ...