Reinforcement Learning 6: Policy Gradients and Actor Critics
Hado Van Hasselt, Research Scientist, discusses policy gradients and actor critics as part of the Advanced Deep Learning & Reinforcement Learning Lectures.
Видео Reinforcement Learning 6: Policy Gradients and Actor Critics канала DeepMind
Видео Reinforcement Learning 6: Policy Gradients and Actor Critics канала DeepMind
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Reinforcement Learning 1: Introduction to Reinforcement LearningEverything You Need To Master Actor Critic Methods | Tensorflow 2 TutorialRL Course by David Silver - Lecture 7: Policy Gradient MethodsRL Course by David Silver - Lecture 6: Value Function ApproximationPolicy Gradient methods and Proximal Policy Optimization (PPO): diving into Deep RL!Deep RL Bootcamp Lecture 4A: Policy GradientsActor Critic AlgorithmsPolicy Gradient Theorem Explained - Reinforcement LearningActor Critic Methods Are Easy With KerasSoft Actor CriticRL Course by David Silver - Lecture 3: Planning by Dynamic ProgrammingMIT 6.S191 (2019): Deep Reinforcement LearningDeepMind's Richard Sutton - The Long-term of AI & Temporal-Difference LearningAn introduction to Reinforcement LearningCS885 Lecture 7b: Actor CriticEverything You Need to Know About Deep Deterministic Policy Gradients (DDPG) | Tensorflow 2 TutorialActor Critic (A3C) TutorialRL Course by David Silver - Lecture 5: Model Free ControlRL Course by David Silver - Lecture 2: Markov Decision ProcessRI Seminar : Pieter Abbeel : Deep Learning for Robotics