IEEE

Reinforcement Learning for Traffic Signal Control in Hybrid Action Space

Abstract: The prevailing reinforcement-learning-based traffic signal control methods are typically staging-optimizable or duration-optimizable, depending on the action spaces. In this paper, we use ...
GitHub

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...
Concordia University

From Control Theory to Reinforcement Learning: A Unified Tutorial

In this talk, we provide an overview of sequential decision-making. We first review Markov decision processes and dynamic programming, which recast optimization over time into a sequence of nested one ...
archive

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
IEEE

A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks

Abstract: Reinforcement learning (RL) has seen an uptick in research interest in recent years, with many papers published in a plethora of different fields, topics and applications. A lot of that can ...