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Dhruva Tirumala
Researcher, Google DeepMind
Joined
December 2017
Names
Dhruva Tirumala
(Preferred)
,
Dhruva TB
Emails
****@google.com
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Researcher
Google DeepMind
(deepmind.com)
2016
–
Present
PhD student
Complex,
University College London
(ucl.ac.uk)
2020
–
2024
MS student
Carnegie Mellon University
(cmu.edu)
2015
–
2016
Undergrad student
BITS Pilani, Dhirubhai Ambani Institute Of Information and Communication Technology
(bits-pilani.ac.in)
2009
–
2013
Advisors, Relations & Conflicts
PhD Advisor
Nicolas Heess
2020
–
2024
Expertise
Reinforcement Learning
,
Hierarchical reinforcement learning
,
doman adaptation
,
Batch Reinforcement Learning
Present
Publications
A KL-regularization framework for learning to plan with adaptive priors
Alvaro Serra-Gomez
,
Daniel Jarne Ornia
,
Dhruva Tirumala
,
Thomas M. Moerland
Submitted to ICLR 2026
Readers:
Everyone
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
ICML 2025 poster
Readers:
Everyone
Evolving Control: Evolved High Frequency Control for Continuous Control Tasks
Samuel Holt
,
Todor Davchev
,
Dhruva Tirumala
,
Ben Moran
,
Yixin Lin
,
Antoine Laurens
,
Atil Iscen
,
Erik Frey
,
Markus Wulfmeier
,
Francesco Romano
,
Nicolas Heess
CoRL 2024 Workshop SAFE-ROL Poster
Readers:
Everyone
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Dhruva Tirumala
,
Markus Wulfmeier
,
Ben Moran
,
Sandy Huang
,
Jan Humplik
,
Guy Lever
,
Tuomas Haarnoja
,
Leonard Hasenclever
,
Arunkumar Byravan
,
Nathan Batchelor
,
Neil sreendra
,
Kushal Patel
,
Marlon Gwira
,
Francesco Nori
,
Martin Riedmiller
,
Nicolas Heess
CoRL 2024
Readers:
Everyone
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala
,
Thomas Lampe
,
Jose Enrique Chen
,
Tuomas Haarnoja
,
Sandy Huang
,
Guy Lever
,
Ben Moran
,
Tim Hertweck
,
Leonard Hasenclever
,
Martin Riedmiller
,
Nicolas Heess
,
Markus Wulfmeier
ICLR 2024 poster
Readers:
Everyone
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 Riedmiller
Accepted by TMLR
Readers:
Everyone
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja
,
Ben Moran
,
Guy Lever
,
Sandy H. Huang
,
Dhruva Tirumala
,
Markus Wulfmeier
,
Jan Humplik
,
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
et al. (8 additional authors not shown)
Published: 01 Jan 2023, Last Modified: 26 May 2023
CoRR 2023
Readers:
Everyone
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 Riedmiller
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
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
2022 (modified: 24 Apr 2023)
ICLR 2022
Readers:
Everyone
MO2: Model-Based Offline Options
Sasha Salter
,
Markus Wulfmeier
,
Dhruva Tirumala
,
Nicolas Heess
,
Martin A. Riedmiller
,
Raia Hadsell
,
Dushyant Rao
2022 (modified: 25 Apr 2023)
CoLLAs 2022
Readers:
Everyone
View all 36 publications
Co-Authors
Abbas Abdolmaleki
Aidan Clark
Alexandre Galashov
Alvaro Serra-Gomez
Andrea Huber
András György
Antoine Laurens
Arun Ahuja
Arunkumar Byravan
Atil Iscen
Ben Moran
Bobak Shahriari
Brandon Lucia
Charles Blundell
Charles Game
Claudio Fantacci
Csaba Szepesvari
Dan Belov
Daniel Jarne Ornia
David Balduzzi
David Silver
Dharshan Kumaran
Dushyant Rao
Erik Frey
Federico Casarini
View all 100 co-authors