Ujang Riswanto·Aug 21A Deep Dive into Minimax-Q Learning and Its Applications in Multi-Agent EnvironmentsHow AI learns to make smarter decisions when the other side is actively trying to beat it.
Ujang Riswanto·Aug 20Mastering Minimax-Q Learning: A Step-by-Step Guide to Game-Theoretic AIHow AI learns to make smarter decisions when the other side is trying just as hard to win.
Émilia Lilith-Lolita Hoarfrost·Jun 22CODE #3: EMERGENT DECAYING EPSILON-GREEDY Q-LEARNING (PYTHON)Exploring three stages of Q-learning, a classical machine learning concept: epsilon-constant, decaying epsilon-greedy, and emergent…
CuriousSoul·Jun 4Understanding Q-learning algorithm through Nim gameFor the past 3 years, there was so much buzz on AI and I could see that AI has become pivotal in our lives. Today, we rely on AI assistants…
Shakeraafreen·Dec 22, 2025Q-Learning AlgorithmQ-Learning is a model-free reinforcement learning algorithm where an agent learns the best actions through trial and error without knowing…
Rashmi S·Dec 4, 2025Q-learning : An RL AlgorithmReinforcement Learning (RL) is an area of machine learning where an agent learns to make a sequence of decisions in an environment to…
akshay kumar·Jun 4, 2025My First RL Agents — Q-Learning vs. SARSA in a Taxi World!Alright, so in my last post, “What inspired me to learn RL”, I talked about why I got hooked on the idea of Reinforcement Learning and…
InAI Simplified in Plain EnglishbyFrank Morales Aguilera·Feb 12, 2025Proof of Concept for Predicting Patient Outcomes with a Boltzmann Machine and Q-LearningFrank Morales Aguilera, BEng, MEng, SMIEEE
Jas Kolb·Jan 29, 2025I wrote a article on “Why UX Must Embrace AI Optimization to Avoid Becoming Obsolete.”“How do we evaluate and fix bias in AI-generated insights to ensure they align with ethical and user-focused design goals?”
