Dragos Calin

I wrote a step-by-step tutorial for how to setup MuJoCo, Gymnasium, PyTorch, SB3 and TensorBoard on Windows The link is here: reinforcementlearningpath.com/how-to-setup-m… #ArtificialIntelligence #MachineLearning #ReinforcementLearning

What is Actor-Critic in Reinforcement Learning? The real pitfalls that many don’t tell you, such as unstable Critic, bad reward scaling, lack of normalization, wrong entropy or blocked policy. reinforcementlearningpath.com/what-is-actor-… #ArtificialInteligence #Robotics

All you need to know about Exploration vs Exploitation in Reinforcement Learning reinforcementlearningpath.com/exploration-vs… #ReinforcementLearning #ArtificialIntelligence #Robotics #MachineLearning

Reinforcement Learning: Supervised, Unsupervised, or Something Else? (When to Use Each) reinforcementlearningpath.com/reinforcement-… #reinforcementlearning #ArtificialInteligence #Robotics

Reinforcement Learning Explained: The Complete Beginner’s Guide to How Machines Learn from Experiences reinforcementlearningpath.com/reinforcement-… #reinfocementlearning #machinelearning #robotics #ArtificialIntelligence

If you're learning RL, I wrote a tutorial about Soft Actor Critic (SAC) Implementation In SB3 with PyTorch reinforcementlearningpath.com/step-by-step-s… #ReinforcementLearning #machinelearning #AI #Robotics

In this tutorial, you will see exactly why, how to normalize correctly and how to stabilize your training. reinforcementlearningpath.com/hands-on-min-m… #reinforcementlearning #robotics #machinelearningtutorial #ArtificialInteligence

This tutorial shows you how PPO actually works – and how to make it stable, reliable, and predictable. reinforcementlearningpath.com/the-complete-p… #reinforcinglearning #artificialinteligence #Robotics

I wrote a step-by-step guide about Learning Rate in RL: *how the reward curves for Q-Learning, DQN and PPO change, *why PPO is much more sensitive to LR than you think, *which values ​​are safe and which values ​​are dangerous. Here is the link: reinforcementlearningpath.com/the-complete-g…

@neilpatel Do you have a plan to stop spamming?

If you run paid advertising for your App, does it also affect your organic installs? Many people think it negatively affects your organic installs due to cannibalization. But this study from Loyal shows otherwise.

Build your first Deep Q-Learning agent. For free. With real code, real graphs, real intuition. #PyTorch #openaiGymnasium #StableBaselines3 #reinforcementlearning reinforcementlearningpath.com/deep-q-learnin…

🤹‍♀️As it is in reinforcement learning, so it is in life. If the reward is too far away, the agent gives up! #ReinforcementLEarning

Everyone talks about training agents. Almost no one talks about defining the application. And that’s exactly why most reinforcement learning projects fail silently. @calinezul/clarity-before-code-the-most-ignored-rule-in-reinforcement-learning-89af28005272" target="_blank" rel="nofollow noopener">medium.com/@calinezul/cla… #ReinforcementLEarning #Robotics

@TommiPedruzzi Send

9 to 5 Won't Make You Wealthy But AI side hustles can make you $323/day I created a detailed guide to help you earn money with eBook publishing Usually, I'd charge $179 for this blueprint, but today it's yours completely FREE Like and Comment "Send" & I'll DM it to you Must follow me to get DM. FREE for 24 hrs

The Markov Decision Process is not reality, it’s a story you tell about reality @calinezul/the-markov-decision-process-is-not-reality-its-a-story-you-tell-about-reality-ae57ad2a0f11" target="_blank" rel="nofollow noopener">medium.com/@calinezul/the… #ArtificialInteligence #ReinforcementLEarning #Robotics

Most of the genius in RL is not in algorithms but in reward shaping, debugging, and iterating on what you actually want the agent to learn. Is that so? #reinforcementlearning #robotics #AI

I just published Why I Chose DQN for My Deep RL Agent (And Why It Was the Right Call) medium.com/p/why-i-chose-… #ArtificialInteligence #reinforcementlearning

🚀 Struggling to define your RL problem? In this guide, I share a simple method to define your Reinforcement Learning problem — using a clear checklist of essential questions. reinforcementlearningpath.com/problem-defini… #DeepLearning #ReinforcementLearning #MachineLearning

🚀reinforcementlearningpath.com – a blog fully dedicated to Deep Reinforcement Learning, explained step by step. 🎯 My mission? To make RL practical, understandable, and accessible for students, hobbyists, and engineers. #ReinforcementLearning #DeepRL #MachineLearning #Robotics

📍 Motion Model vs. Measurement Model in Localization 📍 The Motion Model predicts movement using internal sensors but accumulates errors over time. The Measurement Model corrects these errors using external references. Both are essential for accurate positioning & orientation in SLAM. 🔗 Read more: simultaneouslocalizationmapping.com/measurement-mo… 🚀 #SLAM #Robotics #Localization