Publications¶
Papers by the Columbia research team can be found at Google Scholar.
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 |
2 |
2021 |
|
Explainable deep reinforcement learning for portfolio management: An empirical approach |
ICAIF 2021: ACM International Conference on AI in Finance |
1 |
2021 |
|
FinRL-Podracer: High performance and scalable deep reinforcement learning for quantitative finance |
ICAIF 2021: ACM International Conference on AI in Finance |
2 |
2021 |
|
FinRL: Deep reinforcement learning framework to automate trading in quantitative finance |
ICAIF 2021: ACM International Conference on AI in Finance |
7 |
2021 |
|
FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance |
NeurIPS 2020 Deep RL Workshop |
25 |
2020 |
|
Deep reinforcement learning for automated stock trading: An ensemble strategy |
ICAIF 2020: ACM International Conference on AI in Finance |
44 |
2020 |
|
Multi-agent reinforcement learning for liquidation strategy analysis |
ICML 2019 Workshop on AI in Finance: Applications and Infrastructure for Multi-Agent Learning |
19 |
2019 |
|
Practical deep reinforcement learning approach for stock trading |
NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services |
86 |
2018 |