IEEE

Prescribed Performance Resilient Motion Coordination With Actor–Critic Reinforcement Learning Design for UAV-USV Systems

Abstract: In this article, we develop a virtual vehicle scheme to solve the coordination control problem under denial-of-service (DoS) attacks for heterogeneous vehicles. This system includes an ...

In 2025, They Asked What Racial Solidarity Really Looks Like

Across film (“Sinners,” “One Battle After Another”), theater (“Ragtime”) and TV (“The Lowdown”), four works suggested what ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
GitHub

RLAF: Reinforcement Learning from Agentic Feedback

Traditional RL uses single scalar rewards. RLAF uses multi-perspective critic ensembles: rlaf/ ├── agents/ # Actor and Critic agents │ ├── actor.py # Agent being trained │ └── critic.py # Evaluation ...
IEEE

Broad Critic Deep Actor Reinforcement Learning for Continuous Control

Abstract: In the domain of continuous control, deep reinforcement learning (DRL) demonstrates promising results. However, the dependence of DRL on deep neural networks (DNNs) results in the demand for ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
The New York Times

With a Bounty on His Head, a Critic of China Runs in Canada’s Election

After Joe Tay set up a run for Parliament, China issued a warrant for his arrest and coordinated online attacks on his candidacy. By Norimitsu Onishi Reporting from Toronto and Markham, Ontario Joe ...
Forbes

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
Scientific Research Publishing

Lange, S., Gabel, T. and Riedmiller, M. (2012) Batch Reinforcement Learning. In: Wiering, M. and van Otterlo, M., Eds., Reinforcement Learning, Springer, 45-73.

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...