Dhruva Tirumala

According to our database, Dhruva Tirumala authored at least 21 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

What Matters for Simulation to Online Reinforcement Learning on Real Robots.

Yarden As, Dhruva Tirumala, René Zurbrügg, Chenhao Li, Stelian Coros, Andreas Krause, Markus Wulfmeier

CoRR, February, 2026

2025

A KL-regularization framework for learning to plan with adaptive priors.

Álvaro Serra-Gómez, Daniel Jarne Ornia, Dhruva Tirumala, Thomas M. Moerland

CoRR, October, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Data Release for: Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning.

Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess

Dataset, April, 2024

Learning agile soccer skills for a bipedal robot with deep reinforcement learning.

Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess

Sci. Robotics, 2024

Replay across Experiments: A Natural Extension of Off-Policy RL.

Dhruva Tirumala, Thomas Lampe, José Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller

Trans. Mach. Learn. Res., 2023

Continually learning representations at scale.

Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Behavior Priors for Efficient Reinforcement Learning.

Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess

J. Mach. Learn. Res., 2022

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

MO2: Model-Based Offline Options.

Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.

Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Exploiting Hierarchy for Learning and Transfer in KL-regularized RL.

Dhruva Tirumala, Hyeonwoo Noh, Alexandre Galashov, Leonard Hasenclever, Arun Ahuja, Greg Wayne, Razvan Pascanu, Yee Whye Teh, Nicolas Heess

CoRR, 2019

Hierarchical Visuomotor Control of Humanoids.

Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Flexible Support for Fast Parallel Commutative Updates.

Vignesh Balaji, Dhruva Tirumala, Brandon Lucia

CoRR, 2017

POSTER: An Architecture and Programming Model for Accelerating Parallel Commutative Computations via Privatization.

Vignesh Balaji, Dhruva Tirumala, Brandon Lucia

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

Learning to reinforcement learn.

Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017