Publications

Papers by the Columbia research team can be found at Google Scholar.

Publications

Title

Conference

Link

Citations

Year

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance

NeurIPS 2021 Data-Centric AI Workshop

paper, code

2

2021

Explainable deep reinforcement learning for portfolio management: An empirical approach

ICAIF 2021: ACM International Conference on AI in Finance

paper, code

1

2021

FinRL-Podracer: High performance and scalable deep reinforcement learning for quantitative finance

ICAIF 2021: ACM International Conference on AI in Finance

paper, code

2

2021

FinRL: Deep reinforcement learning framework to automate trading in quantitative finance

ICAIF 2021: ACM International Conference on AI in Finance

paper, code

7

2021

FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance

NeurIPS 2020 Deep RL Workshop

paper, code

25

2020

Deep reinforcement learning for automated stock trading: An ensemble strategy

ICAIF 2020: ACM International Conference on AI in Finance

paper, code

44

2020

Multi-agent reinforcement learning for liquidation strategy analysis

ICML 2019 Workshop on AI in Finance: Applications and Infrastructure for Multi-Agent Learning

paper, code

19

2019

Practical deep reinforcement learning approach for stock trading

NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services

paper, code

86

2018