Actor Critic Methods Are Easy With Keras

Today you'll see how to code an Actor Critic Deep Reinforcement Learning Agent in the Keras Framework. You'll also get to see how we can implement custom loss functions in Keras, which isn't something I've seen widely talked about. Actor Critic Methods are a type of temporal difference policy gradient algorithm that is somewhat sample inefficient, yet highly effective due to the fact that the policy is often a simpler function to approximate than the action-value function. It works by having the actor approximate the agent's policy (what the agent uses to choose actions), while the critic network approximates the value of those actions. The critic informs the agent of the value of those actions and the actor updates its neural network to tilt the policy's probability distribution in the direction of the actions with the highest value. #Keras #ActorCritic #DeepReinforcementLearning 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 [email protected] https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP-JUNE-22 Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion 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: https://discord.gg/Zr4VCdv Need personalized tutoring? Help on a programming project? Shoot me an email! [email protected] Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil