Scaling the Mountain with Continuous Actor Critic Methods | PyTorch Tutorial скачать в хорошем качестве

Scaling the Mountain with Continuous Actor Critic Methods | PyTorch Tutorial

In this tutorial you're going to code a continuous actor critic agent to play the mountain car environment. We'll see that it comes up with a pretty smart solution that is precisely what we don't want. This really shows how the design of the agent's reward can backfire and lead to undesirable behavior. Never the less, it's important to study continuous actor critic methods, as they form the basis for more advanced algorithms like PPO, DDPG, and the like. If you found this helpful, please share and subscribe! #ActorCriticMethods #MountainCar #PyTorch 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