Scott M. Jordan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | From Past to Future: Rethinking Eligibility Traces. | Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva |
| 2024 | ICML | Position: Benchmarking is Limited in Reinforcement Learning Research. | Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas |
| 2021 | ICML | High Confidence Generalization for Reinforcement Learning. | James E. Kostas, Yash Chandak, Scott M. Jordan, Georgios Theocharous, Philip S. Thomas |
| 2020 | ICML | Evaluating the Performance of Reinforcement Learning Algorithms. | Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas |
| 2019 | ICML | Learning Action Representations for Reinforcement Learning. | Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas |
| 2019 | ICTIR | Learning a Better Negative Sampling Policy with Deep Neural Networks for Search. | Daniel Cohen, Scott M. Jordan, W. Bruce Croft |