Probabilistic models for neural populations that naturally capture global coupling and criticality. - Jan Humplik; Gasper Tkacik (PLoS Comput. Biol., 2017)

Meta reinforcement learning as task inference. - Jan Humplik; Alexandre Galashov; Leonard Hasenclever; Pedro A. Ortega; Yee Whye Teh; Nicolas Heess (CoRR, 2019)

Importance Weighted Policy Learning and Adaption. - Alexandre Galashov; Jakub Sygnowski; Guillaume Desjardins; Jan Humplik; Leonard Hasenclever; Rae Jeong; Yee Whye Teh; Nicolas Heess (CoRR, 2020)

Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. - Michael Bloesch; Jan Humplik; Viorica Patraucean; Roland Hafner; Tuomas Haarnoja; Arunkumar Byravan; Noah Yamamoto Siegel; Saran Tunyasuvunakool; Federico Casarini; Nathan Batchelor; Francesco Romano; Stefano Saliceti; et al. (CoRL, 2021)

Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. - Wenxuan Zhou; Steven Bohez; Jan Humplik; Nicolas Heess; Abbas Abdolmaleki; Dushyant Rao; Markus Wulfmeier; Tuomas Haarnoja (CoLLAs, 2022)

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. - Steven Bohez; Saran Tunyasuvunakool; Philemon Brakel; Fereshteh Sadeghi; Leonard Hasenclever; Yuval Tassa; Emilio Parisotto; Jan Humplik; Tuomas Haarnoja; Roland Hafner; Markus Wulfmeier; Michael Neunert; et al. (CoRR, 2022)

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. - Wenxuan Zhou; Steven Bohez; Jan Humplik; Abbas Abdolmaleki; Dushyant Rao; Markus Wulfmeier; Tuomas Haarnoja; Nicolas Heess (CoRR, 2022)

Language to Rewards for Robotic Skill Synthesis. - Wenhao Yu 003; Nimrod Gileadi; Chuyuan Fu; Sean Kirmani; Kuang-Huei Lee; Montserrat Gonzalez Arenas; Hao-Tien Lewis Chiang; Tom Erez; Leonard Hasenclever; Jan Humplik; Brian Ichter; Ted Xiao; et al. (CoRL, 2023)

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. - Arunkumar Byravan; Jan Humplik; Leonard Hasenclever; Arthur Brussee; Francesco Nori; Tuomas Haarnoja; Ben Moran; Steven Bohez; Fereshteh Sadeghi; Bojan Vujatovic; Nicolas Heess (ICRA, 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)

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning. - Norman Di Palo; Leonard Hasenclever; Jan Humplik; Arunkumar Byravan (CoLLAs, 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; et al. (CoRL, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 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)

Proc4Gem: Foundation models for physical agency through procedural generation. - Yixin Lin; Jan Humplik; Sandy H. Huang; Leonard Hasenclever; Francesco Romano; Stefano Saliceti; Daniel Zheng; José Enrique Chen; Catarina Barros; Adrian Collister; Matt Young; Adil Dostmohamed; et al. (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)