Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Interesting Engineering on MSN

AI-trained quadruped robot walks rough, low-friction terrain without human input

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...
Developer Tech

Solving hardware fragmentation for deep learning performance

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.
Devdiscourse

AI trading systems mimicking human bias show higher risk

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
AZoRobotics

Simulation-Only Training Enables Quadruped Robots to Master Real-World Terrain

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

Deep reading can boost your critical thinking and help you resist misinformation – here’s how to build the skill

Reading deeply means being able to intentionally choose when to read at different speeds, slowing down as needed to wrestle with difficult passages, savor striking prose, critically evaluate ...
University of California

11 things AI experts are watching for in 2026

How will AI disrupt the labor market? What will deepfake videos mean for our understanding of truth? Are we in a bubble, and ...
IEEE

A Tuning Friendly Deep Reinforcement Learning Method for Inverter-Based Volt/Var Control

Abstract: Deep reinforcement learning (DRL) methods have been applied to power system problems in active distribution networks, including the inverter-based volt/var control (VVC). However, existing ...

Dopamine under control: Precision regulation of inhibition shapes learning, memory and mental health

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...
Scientific Research Publishing

A Study on the Impact of New Media on College Students’ Oral English Learning

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...
Scientific Research Publishing

Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data ()

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.
EurekAlert!

Multi-constraint reinforcement learning in complex robot environments

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.