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Quantcast – a Risk.net Cutting Edge podcast chevron_right

Igor Halperin – 08/12/22

Dec 13, 2022
39:38
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1
Introduction
00:00 • 3min
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2
Inverse Reinforcement Learning and Inverse Reward Learning
02:32 • 3min
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3
The IRL Part of the Out-Through-to-Four Model
05:45 • 2min
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4
How to Improve the Performance of Portfolio Managers?
08:12 • 2min
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5
IRL Algorithm
10:31 • 3min
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6
The Black Box Effect Is Completely Absent in Reinforcement Learning
13:06 • 2min
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7
Identifying Your Risk Aversion
14:39 • 2min
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8
Quant Finance - What Are the Applications of Reinforcement Learning?
16:15 • 3min
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9
Fund Replication
18:54 • 2min
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10
Option Pricing Models - What Do You See as Fundamentally Wrong?
20:26 • 2min
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11
Using Reinforcement Learning to Model Stock Market Dynamics
22:47 • 5min
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12
Is the Black Shows Set Up Really Different?
28:12 • 2min
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13
How Do You Conciliate the Tools From Physics and the Data Driven Non-Linear Approaches?
29:44 • 5min
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14
Machine Learning and Tensor Trainers
34:50 • 2min
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15
Multi-Agent Reinforcement Learning
36:22 • 3min
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Igor Halperin talks with Mauro Cesa
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