Kavosh Asadi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
6
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. | Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor |
| 2024 | ICML | Learning the Target Network in Function Space. | Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor |
| 2023 | AISTATS | Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. | Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman |
| 2021 | AAAI | Deep Radial-Basis Value Functions for Continuous Control. | Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman |
| 2021 | AAAI | Lipschitz Lifelong Reinforcement Learning. | Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman |
| 2019 | AAAI | State Abstraction as Compression in Apprenticeship Learning. | David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong |
| 2019 | IJCAI | DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. | Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris |
| 2018 | ICML | Lipschitz Continuity in Model-based Reinforcement Learning. | Kavosh Asadi, Dipendra Misra, Michael L. Littman |
| 2017 | ACL | Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. | Jason D. Williams, Kavosh Asadi, Geoffrey Zweig |
| 2017 | ICML | An Alternative Softmax Operator for Reinforcement Learning. | Kavosh Asadi, Michael L. Littman |