Optimizing Traffic Flow with Multi-Scale Joint Control System
Save Article Thursday 11 September 2025 Traffic congestion is a daily reality for many of…
Controlling Thin-Film Flows: A Breakthrough in Understanding and Manipulation
Save Article Friday 25 July 2025 Scientists have made a significant breakthrough in understanding and…
Cracking Open the Black Box of Deep Reinforcement Learning
Save Article Monday 14 July 2025 Deep reinforcement learning (RL) has long been a black…
Breaking New Ground: Mirror Descent Methods Revolutionize Optimization Theory
Save Article Thursday 26 June 2025 Researchers have made significant progress in the field of…
Reconstructing Gamma Radiation Fields with Advanced Algorithm and Sensor Technology
Save Article Monday 09 June 2025 A team of researchers has developed a new method…
Cracking the Code of Human Decision-Making
Save Article Wednesday 21 May 2025 For decades, scientists have been trying to crack the…
Unraveling the Behavior of Pseudo-Parabolic Equations in Physics and Engineering
Save Article Wednesday 30 April 2025 Scientists have made a significant breakthrough in understanding the…
Revolutionizing Ridesharing with Flexible Roles and HOV Lanes: A Dynamic Optimization Approach
Save Article Monday 21 April 2025 As we navigate through our daily commutes, it’s easy…
Boosting Model Predictive Control with Reinforcement Learning: A New Paradigm for Efficient Nonlinear Control
Save Article Saturday 19 April 2025 The quest for efficient and effective control systems has…
Unveiling the Secrets of Optimal Control: A Novel SDP-Based Approach to Linear Quadratic Games and H∞ Suboptimal Control
Save Article Friday 18 April 2025 The art of control theory has long been a…
Optimal Resource Allocation in Complex Systems Using Deterministic Annealing and Control Barrier Functions
Save Article Wednesday 16 April 2025 The quest for efficient resource allocation has been a…
Robotic Motion Planning in 3D: A Novel Approach to Dubins Vehicle Navigation
Save Article Wednesday 16 April 2025 The quest for a more efficient path for aerial…