Dhruva Tirumala
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control. | Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Atil Iscen, Antoine Laurens, Yixin Lin, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess |
| 2024 | CoRL | Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. | Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess |
| 2024 | ICLR | Replay across Experiments: A Natural Extension of Off-Policy RL. | Dhruva Tirumala, Thomas Lampe, Jos Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier |
| 2022 | ICLR | Learning transferable motor skills with hierarchical latent mixture policies. | Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell |
| 2021 | ICML | Data-efficient Hindsight Off-policy Option Learning. | Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller |
| 2020 | ICLR | V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control. | H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick |
| 2019 | ICLR | Information asymmetry in KL-regularized RL. | Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess |
| 2019 | ICLR | Hierarchical Visuomotor Control of Humanoids. | Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne |
| 2017 | CogSci | Learning to reinforcement learn. | Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rmi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick |
| 2017 | PPoPP | POSTER: An Architecture and Programming Model for Accelerating Parallel Commutative Computations via Privatization. | Vignesh Balaji, Dhruva Tirumala, Brandon Lucia |