Path: blob/master/docs/source/reference/publication.md
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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 | 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 | 4 | 2021 |
| FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance | NeurIPS 2020 Deep RL Workshop | paper; code | 20 | 2020 |
| Deep reinforcement learning for automated stock trading: An ensemble strategy | ICAIF 2020 : ACM International Conference on AI in Finance | paper; code | 46 | 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 | 87 | 2018 |