Learning to reinforcement learn. - Jane Wang 001; Zeb Kurth-Nelson; Hubert Soyer; Joel Z. Leibo; Dhruva Tirumala; Rémi Munos; Charles Blundell; Dharshan Kumaran; Matt M. Botvinick (CogSci, 2017)

POSTER: An Architecture and Programming Model for Accelerating Parallel Commutative Computations via Privatization. - Vignesh Balaji; Dhruva Tirumala; Brandon Lucia (PPoPP, 2017)

Flexible Support for Fast Parallel Commutative Updates. - Vignesh Balaji; Dhruva Tirumala; Brandon Lucia (CoRR, 2017)

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 (ICLR (Poster), 2019)

Hierarchical Visuomotor Control of Humanoids. - Josh Merel; Arun Ahuja; Vu Pham; Saran Tunyasuvunakool; Siqi Liu 002; Dhruva Tirumala; Nicolas Heess; Greg Wayne (ICLR (Poster), 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)

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 002; Dhruva Tirumala; Nicolas Heess; Dan Belov; et al. (ICLR, 2020)

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. - Marta Garnelo; Wojciech Marian Czarnecki; Siqi Liu 002; Dhruva Tirumala; Junhyuk Oh; Gauthier Gidel; Hado van Hasselt; David Balduzzi (AAMAS, 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 (ICML, 2021)

MO2: Model-Based Offline Options. - Sasha Salter; Markus Wulfmeier; Dhruva Tirumala; Nicolas Heess; Martin A. Riedmiller; Raia Hadsell; Dushyant Rao (CoLLAs, 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 (ICLR, 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)

Continually learning representations at scale. - Alexandre Galashov; Jovana Mitrovic; Dhruva Tirumala; Yee Whye Teh; Timothy Nguyen; Arslan Chaudhry; Razvan Pascanu (CoLLAs, 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; et al. (Trans. Mach. Learn. Res., 2023)

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; et al. (CoRL, 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 (ICLR, 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; et al. (Sci. Robotics, 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; et al. (Zenodo, 2024)