The Man Behind AlphaGo Thinks AI Is Taking the Wrong Path

In 2016, an AI program he developed at Google DeepMind, AlphaGo, taught itself to play the famously difficult game of Go with ...

10 Language Learning Apps You Should Be Using In 2026

To help you hit your short and long-term language goals, we've tested a variety and selected the best language learning apps ...

AI World Models: What Are They And Why Should You Care

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

AI’s New Training Data: Your Old Work Slacks And Emails

One company, AfterQuery, sells a series of off-the-shelf “worlds” to AI labs, with names such as “Big Tech World”, “Finance ...
EurekAlert!

From specialized to adaptable AI systems

How can AI systems better apply their learned behavior to new and previously unknown situations? This is a question to be ...
GitHub

Two-Stage Coarse-to-Fine AutoRL for DDPG Hyperparameter Optimization

This repository provides a reproducibility-oriented implementation of a two-stage coarse-to-fine AutoRL workflow for DDPG hyperparameter optimization. The main contribution is the optimization ...
GitHub

test_drl_singleAgent.py

"""Script demonstrating the use of `gym_pybullet_drones`'s Gymnasium interface. Classes HoverAviary and MultiHoverAviary are used as learning envs for the PPO algorithm. from ...
IEEE

NPC Behavior in Games Using Unity ML-Agents: A Reinforcement Learning Approach

Abstract: Machine learning is having a significant impact on video games, from speeding up the development of new games to the development of new methods in gaming. This study discusses the impact of ...
IEEE

Dual-Centralized Q-Network-Based Reinforcement Learning for Cooperative Path Planning of Multiple UAVs

Abstract: Due to the low cost and high maneuverability, unmanned aerial vehicles (UAVs) have been commonly used and played an important role in both the civilian and military fields. Although UAVs can ...