Publikationen von E Schulz

Schulz, E.: Using structure to explore efficiently. Structure for Efficient Reinforcement Learning (SERL 2019): Workshop at the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making , Montréal, Canada (2019)

Schulz, E.: Exploration and generalization in structured bandits. Laboratoire de Neurosciences Cognitives Computationnelles (LNC2): nEuro-Economics Seminar Series, Paris, France (2018)

Schulz, E.: Learning and decisions in contextual multi-armed bandit tasks. Stirling PhD Conference in Behavioural Science, Stirling, UK (2015)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Spatial complexity and intricacy predict subjective complexity. The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands (2022)

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2022) , Glasgow, UK (2022)

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. 29th Annual Meeting of the Cognitive Neuroscience Society (CNS 2022), San Francisco, CA, USA (2022)

Saanum, T.; Garvert, M.; Schulz, E.; Schuck, N.; Doeller, C.: Hippocampal spatio-temporal cognitive maps adaptively guide reward generalization. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Haridi, S.; Wu, C.; Dasgupta, I.; Schulz, E.: How does mental sorting scale? 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)

Wu, S.; Elteto, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)

Rothe, A.; Schulz, E.; Sablé Meyer, M.; Tenenbaum, J.; Ruggeri, A.: Learning sequential patterns from graphical programs. 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada (2020)

Parpart, P.; Schulz, E.: Is covariance ignorance responsible for the success of heuristics? 40th Annual Cognitive Science Society Meeting (CogSci 2018), Madison, WI, USA (2019)

Stojic, H.; Schulz, E.; Speekenbrink, M.: It is new, but will it be good? Context-driven exploration of novel options. 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), London, UK (2017)

Schulz, E.: Towards a unifying model of generalization. Dissertation, 257 S., University College London, London, UK (2017)

Jones, A.; Schulz, E.; Meder, B.; Ruggeri, A.: Learning functions actively. (eingereicht)

Schulz, E.; Pelz, M.; Gopnik, A.; Ruggeri, A.: Preschoolers search longer when there is more information to be gained. (eingereicht)

Parpart, P.; Schulz, E.; Speekenbrink, M.; Love, B.: Active learning reveals underlying decision strategies. (eingereicht)

Allen, K.; Brändle, F.; Botvinick, M.; Fan, J.; Gershman, S.; Gopnik, A.; Griffiths, T.; Hartshorne, J.; Hauser, T.; Ho, M. et al.; de Leeuw, J.; Ma, W.; Murayama, K.; Nelson, J.; van Opheusden, B.; Poundsy, T.; Rafner, J.; Rahwan, I.; Rutledge, R.; Sherson, J.; Simsek, O.; Spiers, H.; Summerfield, C.; Thalmann, M.; Velez, N.; Watrous, A.; Tenenbaum, J.; Schulz, E.: Using Games to Understand the Mind. (eingereicht)

Binz, M.; Schulz, E.: Using cognitive psychology to understand GPT-3. (eingereicht)

Giron, A.; Ciranka, S.; Schulz, E.; van den Bos, W.; Ruggeri, A.; Meder, B.; Wu, C.: Developmental changes in learning resemble stochastic optimization. (eingereicht)