Edge AI for Beginners: Running Machine Learning on Small Devices (2026)

Learn edge AI and TinyML from scratch. Understand quantization, TFLM, Edge Impulse, and how to deploy ML models on microcontrollers and single-board computers.

Best Robotics Kits for RL Experimentation: Arduino vs Raspberry Pi (2026)

Compare Arduino and Raspberry Pi for RL experimentation. Find the right robotics kit for testing trained policies on real hardware, from budget ELEGOO to Pi 5.

Best GPU Setups for Training RL Agents (2026)

Find the right GPU for RL training. Compare consumer cards, cloud rentals, and hardware tiers for CartPole, Atari, MuJoCo, and vision-based RL projects.

Genetic Algorithms vs Reinforcement Learning for Game AI (2026)

Compare genetic algorithms and reinforcement learning for game AI. Learn how NEAT evolves network structure, where GAs match DQN on Atari, and when to use each approach.

Training a Racing Car AI with Deep Reinforcement Learning (2026)

Train a racing car AI using PPO and CNNs in CarRacing-v3. Learn visual preprocessing, reward shaping, and how to avoid common racing RL pitfalls.

Sim-to-Real Transfer: Moving RL from Simulation to Real Robots (2026)

Master sim-to-real transfer for robotics RL. Learn domain randomization, DROPO, the reality gap, and a practical pre-deployment checklist for moving policies to real hardware.

Reward Function Design for Robotics RL (2026): Complete Guide

Master reward function design for robotics RL. Learn sparse vs shaped rewards, reward hacking, potential-based shaping, composite rewards, and practical design checklists.

Unity ML-Agents Tutorial: Build Game AI in Unity (2026)

Build game AI with Unity ML-Agents. Train PPO and SAC agents inside Unity scenes, use self-play, curriculum learning, and deploy trained models natively in games.

Stable-Baselines3 Tutorial: Train RL Agents in Minutes (2026)

Master Stable-Baselines3 for RL training. Train PPO, SAC, and DQN agents in lines of code, choose the right algorithm, and use callbacks, vectorized environments, and custom envs.

Curriculum Learning for Reinforcement Learning Agents (2026): Complete Guide

Understand curriculum learning for RL: manual vs automatic curricula, self-play as curriculum, learning progress methods, and practical applications in robotics and games.