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

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
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)
- CoRR 2022
- 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 A. Riedmiller
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 25 Sept 2023
- J. Mach. Learn. Res. 2022
- 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
- 12 Oct 2021 (modified: 05 May 2023)
- Deep RL Workshop NeurIPS 2021
- Readers: Everyone
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
Abbas Abdolmaleki, Sandy Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva Tirumala, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvari, raia hadsell, Nicolas Heess, Martin Riedmiller
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- 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
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Spotlight
- Readers: Everyone

View all 30 publications

Co-Authors

View all 88 co-authors