Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Introduction
00:00 • 3min
Inverse Reinforcement Learning and Inverse Reward Learning
02:32 • 3min
The IRL Part of the Out-Through-to-Four Model
05:45 • 2min
How to Improve the Performance of Portfolio Managers?
08:12 • 2min
IRL Algorithm
10:31 • 3min
The Black Box Effect Is Completely Absent in Reinforcement Learning
13:06 • 2min
Identifying Your Risk Aversion
14:39 • 2min
Quant Finance - What Are the Applications of Reinforcement Learning?
16:15 • 3min
Fund Replication
18:54 • 2min
Option Pricing Models - What Do You See as Fundamentally Wrong?
20:26 • 2min
Using Reinforcement Learning to Model Stock Market Dynamics
22:47 • 5min
Is the Black Shows Set Up Really Different?
28:12 • 2min
How Do You Conciliate the Tools From Physics and the Data Driven Non-Linear Approaches?
29:44 • 5min
Machine Learning and Tensor Trainers
34:50 • 2min
Multi-Agent Reinforcement Learning
36:22 • 3min