Jan Humplik
Jan Humplik
Research Scientist, DeepMind
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Meta reinforcement learning as task inference
J Humplik, A Galashov, L Hasenclever, PA Ortega, YW Teh, N Heess
arXiv preprint arXiv:1905.06424, 2019
382019
Probabilistic models for neural populations that naturally capture global coupling and criticality
J Humplik, G Tkačik
PLoS computational biology 13 (9), e1005763, 2017
222017
Evolutionary dynamics of infectious diseases in finite populations
J Humplik, AL Hill, MA Nowak
Journal of Theoretical Biology 360, 149-162, 2014
152014
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
112018
Semiparametric energy-based probabilistic models
J Humplik, G Tkačik
arXiv preprint arXiv:1605.07371, 2016
32016
Importance Weighted Policy Learning and Adaption
A Galashov, J Sygnowski, G Desjardins, J Humplik, L Hasenclever, ...
arXiv preprint arXiv:2009.04875, 2020
2020
Semiparametric energy-based models of systems exhibiting criticality
J Humplik, G Tkacik
APS March Meeting Abstracts 2016, F41. 002, 2016
2016
Meta reinforcement learning as task inference Download PDF
J Humplik, A Galashov, L Hasenclever, PA Ortega, YW Teh, N Heess
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