Dilip Arumugam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Discovering Hidden Laws in Innovation by Recombination. | Bonan Zhao, Elizabeth Mieczkowski, Dilip Arumugam, Natalia Vlez, Tom Griffiths |
| 2025 | CogSci | Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence. | Cameron Rouse Turner, Dilip Arumugam, Logan Nelson, Tom Griffiths |
| 2025 | UAI | Hindsight Merging: Diverse Data Generation with Language Models. | Veniamin Veselovsky, Benedikt Stroebl, Gianluca M. Bencomo, Dilip Arumugam, Lisa Schut, Arvind Narayanan, Thomas L. Griffiths |
| 2023 | CogSci | Cultural reinforcement learning: a framework for modeling cumulative culture on a limited channel. | Ben Prystawski, Dilip Arumugam, Noah D. Goodman |
| 2021 | ICML | Deciding What to Learn: A Rate-Distortion Approach. | Dilip Arumugam, Benjamin Van Roy |
| 2020 | AISTATS | Value Preserving State-Action Abstractions. | David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup, Michael L. Littman |
| 2020 | ICML | Flexible and Efficient Long-Range Planning Through Curious Exploration. | Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins |
| 2019 | AAAI | State Abstraction as Compression in Apprenticeship Learning. | David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong |
| 2018 | ICML | State Abstractions for Lifelong Reinforcement Learning. | David Abel, Dilip Arumugam, Lucas Lehnert, Michael L. Littman |
| 2017 | ACL | A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. | Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex |