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.

Self-Play in Reinforcement Learning: How AlphaGo-Style Training Works (2026)

Understand self-play RL and AlphaGo-style training. Learn how AlphaGo Zero learned from nothing but self-play, the MCTS+network loop, and why self-play produces superhuman skill.

Multi-Agent Reinforcement Learning Explained (2026): Complete Guide

Understand multi-agent reinforcement learning (MARL): coordination strategies, PettingZoo, CTDE, cooperative vs competitive settings, and practical starting projects.

Bipedal Walker Tutorial: Teach an AI to Walk with RL (2026)

Train a bipedal walker to walk using PPO and Stable-Baselines3. Complete tutorial with reward shaping, training progression, and the Hardcore variant challenge.

Training a Robot Arm to Grasp Objects with RL (2026): Complete Tutorial

Learn to train a robot arm to grasp objects using Hindsight Experience Replay (HER) and SAC. Complete guide with Fetch pick-and-place pipeline and code.

MuJoCo Tutorial: Physics Simulation for Robotics RL (2026)

Learn MuJoCo physics simulation for robotics RL. Train Ant and HalfCheetah with PPO, understand continuous control, and bridge sim-to-real transfer.

Introduction to Gymnasium: OpenAI's RL Environment Toolkit (2026)

Learn Gymnasium's core API, environment spaces, wrappers, and vectorized training. The complete guide to the standard RL environment toolkit maintained by the Farama Foundation.