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When we last left off, we covered the Q learning algorithm for solving the cart pole problem from the OpenAI Gym. Related to Q learning is the SARSA algorithm, which also performs quite well. SARSA differs from Q learning in that it is an on policy, rather than off-policy reinforcement learning algorithm. In this video, I'll go over the SARSA algorithm and show you how to use it to get the cart pole to dance. Code for this video is here: https://github.com/philtabor/Youtube-... Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Prioritized Experience Replay course, with my subscription service. $29 a month gives you instant access to 42 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-l... Actor Critic Methods: https://www.udemy.com/course/actor-cr... Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosit... Natural Language Processing from First Principles: https://www.udemy.com/course/natural-... Reinforcement Learning Fundamentals https://www.manning.com/livevideo/rei... Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: / discord Need personalized tutoring? Help on a programming project? Shoot me an email! phil@neuralnet.ai Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: / mlwithphil #OpenAIGym #ReinforcementLearning #SARSA