Artificial Intelligence (AI) and automation are central to Industry 4.0, driving complex decision-making, optimization, and ...

We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. Artificial intelligence has had a dramatic impact on language learning, offering ...

Commissions do not affect our editors' opinions or evaluations. Learning management systems, or LMS, are software platforms designed to manage, distribute and track employee training. They are ...

This method combines fuzzy logic with deep reinforcement learning (DRL) based deep Q-network (DQN). Initially, the fuzzy logic approach infers client candidates based on the stability of communication ...

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3 ...

Summary. Continuous learning is the key to having lasting influence in your career, yet a heavy workload makes it hard to find the time. To ensure you’re creating opportunities even when you ...

The same technique applied to DQN in a discrete action space drastically slows down learning. Our findings raise questions about the nature of on-policy and off-policy bootstrap and Monte Carlo ...

Deep Q-learning (DQN) is a popular reinforcement learning algorithm that learns a policy to maximize rewards by using a neural network to approximate the action-value function. DQN is usually ...