{"slug": "train-a-balance-bot-with-reinforcement-learning", "title": "Train a balance bot with reinforcement learning", "summary": "Shawn Hymel published a guide in Make: Volume 99 for training a two-wheeled balance bot with reinforcement learning using proximal policy optimization (PPO), the algorithm OpenAI published in 2017, rather than a classical control loop. PPO remains in use for robot control and for fine-tuning large language models.", "body_md": "Shawn Hymel wrote a guide in Make: Volume 99 on training a two-wheeled balance bot with reinforcement learning instead of a classical control loop. The agent is trained with proximal policy optimization, or PPO, the algorithm OpenAI published in 2017 that is still used for robot control and for fine-tuning large language models. Training was […]", "url": "https://wpnews.pro/news/train-a-balance-bot-with-reinforcement-learning", "canonical_source": "https://blog.adafruit.com/2026/10/28/train-a-balance-bot-with-reinforcement-learning/", "published_at": "2026-10-28 16:13:21+00:00", "updated_at": "2026-10-28 16:16:05.600170+00:00", "lang": "en", "topics": ["machine-learning", "robotics", "artificial-intelligence"], "entities": ["Shawn Hymel", "Make: Volume 99", "OpenAI", "PPO"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/train-a-balance-bot-with-reinforcement-learning", "markdown": "https://wpnews.pro/news/train-a-balance-bot-with-reinforcement-learning.md", "text": "https://wpnews.pro/news/train-a-balance-bot-with-reinforcement-learning.txt", "jsonld": "https://wpnews.pro/news/train-a-balance-bot-with-reinforcement-learning.jsonld"}}