Smash Notes
What Is Deep Reinforcement Learning
Deep reinforcement learning is when artificial neural networks are brought together. When it comes to deep reinforcement learning, it uses a neural network that can have millions of neurons that are adapted and changed based on the input and output of the networks, which creates an action in the world.
Pint of Science
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Dr Raia Hadsell - Artificial Intelligence researcher
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at 25:37
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·Transcript
On this episode
- Who Is Dr. Raia Hadsell
- What Is Deepmind, And What's The Company's Goal
- What Is Go, And How Does It Help With Ai Research
- What Does Ai Look Like When Watching It On A Screen
- How Would An Ai React In Minecraft's Creative Mode
- How Do You Program An Ai To Produce Something That Is Pure Creative
- What Is Deep Reinforcement Learning
- Is There A Connection Between Neural Networks And The Human Brain
- Is There Any Potential Research That Focuses On Creating An Ai Neural Network That Can Be Applied To The Brain
- What Areas Are We Seeing Ai Applied In Our Normal Lives
- Can Neural Networks Be Put To Use Outside Of The Ai World, In Areas Such As Teaching, For Example
- How Do The Scientists Notice When Some Ai Agents Haven't Solved A Problem
- How Much Of The Codes Are Shared With Others, And How Much Do You Keep To Yourself
- Are The Scientists Trying To Make Tools To Solve What Humans Can’t Solve Or Replicate Human Intelligence
- What’s A Challenge That Ai Is Least Suited To Address
- What Is A Problem Of Learning Across A Lifetime Of Experience