| Meta reinforcement learning as task inference J Humplik, A Galashov, L Hasenclever, PA Ortega, YW Teh, N Heess arXiv preprint arXiv:1905.06424, 2019 | 98 | 2019 |
| Probabilistic models for neural populations that naturally capture global coupling and criticality J Humplik, G Tkačik PLoS computational biology 13 (9), e1005763, 2017 | 27 | 2017 |
| Evolutionary dynamics of infectious diseases in finite populations J Humplik, AL Hill, MA Nowak Journal of theoretical biology 360, 149-162, 2014 | 19 | 2014 |
| Neural belief states for partially observed domains P Moreno, J Humplik, G Papamakarios, BA Pires, L Buesing, N Heess, ... NeurIPS 2018 workshop on reinforcement learning under partial observability, 2018 | 18 | 2018 |
| Towards real robot learning in the wild: A case study in bipedal locomotion M Bloesch, J Humplik, V Patraucean, R Hafner, T Haarnoja, A Byravan, ... Conference on Robot Learning, 1502-1511, 2022 | 14 | 2022 |
| Imitate and repurpose: Learning reusable robot movement skills from human and animal behaviors S Bohez, S Tunyasuvunakool, P Brakel, F Sadeghi, L Hasenclever, ... arXiv preprint arXiv:2203.17138, 2022 | 6 | 2022 |
| Inferring couplings in networks across order-disorder phase transitions V Ngampruetikorn, V Sachdeva, J Torrence, J Humplik, DJ Schwab, ... Physical Review Research 4 (2), 023240, 2022 | 4 | 2022 |
| Semiparametric energy-based probabilistic models J Humplik, G Tkačik arXiv preprint arXiv:1605.07371, 2016 | 4 | 2016 |
| Nerf2real: Sim2real transfer of vision-guided bipedal motion skills using neural radiance fields A Byravan, J Humplik, L Hasenclever, A Brussee, F Nori, T Haarnoja, ... arXiv preprint arXiv:2210.04932, 2022 | 3 | 2022 |
| Importance weighted policy learning and adaptation A Galashov, J Sygnowski, G Desjardins, J Humplik, L Hasenclever, ... arXiv preprint arXiv:2009.04875, 2020 | 3 | 2020 |
| Learning agile soccer skills for a bipedal robot with deep reinforcement learning T Haarnoja, B Moran, G Lever, SH Huang, D Tirumala, M Wulfmeier, ... arXiv preprint arXiv:2304.13653, 2023 | 2 | 2023 |
| Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data W Zhou, S Bohez, J Humplik, N Heess, A Abdolmaleki, D Rao, ... Conference on Lifelong Learning Agents, 294-309, 2022 | 1 | 2022 |
| SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration G Vezzani, D Tirumala, M Wulfmeier, D Rao, A Abdolmaleki, B Moran, ... arXiv preprint arXiv:2211.13743, 2022 | | 2022 |
| Offline Distillation for Robot Lifelong Learning with Imbalanced Experience W Zhou, S Bohez, J Humplik, A Abdolmaleki, D Rao, M Wulfmeier, ... arXiv preprint arXiv:2204.05893, 2022 | | 2022 |
| Semiparametric energy-based models of systems exhibiting criticality J Humplik, G Tkacik APS March Meeting Abstracts 2016, F41. 002, 2016 | | 2016 |
Gasper TkacikProfessor, Institute of Science and Technology AustriaVerified email at ist.ac.at
