Best AI courses 2026 in India including Google, AWS, and MIT certifications. Learn AI from beginner to expert level and boost ...

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing quantum circuits. Libraries like PyQuil and PennyLane are important for ...

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...

Abstract: This paper presents a novel framework that applies deep Q-learning (DQN) with transfer learning to millimeter-wave (mmWave) beam selection using a software-defined radio (SDR) testbed. We ...

Abstract: This paper presents a Deep Q-Learning (DQL) approach to enhance traffic rerouting in urban vehicular networks. The objective is to develop a dynamic route planning system that adapts to real ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

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