Deep Reinforcement Learning
techniques combining deep learning and reinforcement learning principles to create efficient machine learning algorithms
Common Themes
Videos Mentioning Deep Reinforcement Learning
Ex Machina's Scientific Advisor - Murray Shanahan
Y Combinator
An area of machine learning where systems learn by trial and error, famously demonstrated by DeepMind's Atari game-playing AI (DQN).
Vijay Kumar: Flying Robots | Lex Fridman Podcast #37
Lex Fridman
A subfield of machine learning that combines deep neural networks with reinforcement learning, applied in various AI domains.
Oriol Vinyals: DeepMind AlphaStar, StarCraft, and Language | Lex Fridman Podcast #20
Lex Fridman
A subfield of machine learning that combines reinforcement learning with deep neural networks, the core methodology behind AlphaStar.
Deep Learning State of the Art (2019)
Lex Fridman
An area of AI that combines deep learning with reinforcement learning, enabling agents to learn complex behaviors from raw inputs, as seen in games like Atari and Go.
MIT AGI: Artificial General Intelligence
Lex Fridman
A key area within AI that will be explored in the course, particularly in the context of game playing, robotics, and autonomous systems.
MIT Self-Driving Cars (2018)
Lex Fridman
A machine learning technique discussed as being particularly exciting for both control and planning in autonomous vehicles.
Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Lex Fridman
An area of research focused on making robots understand and interact with the world, combining deep learning with reinforcement learning.