Research paper / RESOURCE PROFILE

arXiv 2006.12686

International Conference on AI in Finance, ICAIF 2020

Research & Papers
arxiv.orgPublished Jun 23, 2020
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Overview

International Conference on AI in Finance, ICAIF 2020

Topics & capabilities

reinforcement-learningstrategiespaper

Publication information

Publication title
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty
Authors
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso
Published
Jun 23, 2020
Last publication revision
Sep 15, 2020
Subject areas
cs.LG, q-fin.RM, stat.ML
DOI
10.1145/3383455.3422519 ↗
Publication source
arxiv.org · abs/2006.12686v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2006.12686 ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
RepositoryChecked capture

DeepIntoStreams/TSFM_Finance

github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
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