Publications of T Teng

Chen, J.; Teng, T.; Shao, Y.; Zhang, H.: Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model. In: 2024 Conference on Cognitive Computational Neuroscience, C85. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, August 06, 2024 - August 09, 2024. (2024)

Lu, H.; Teng, T.; Zhang, H.: The Development of Superstitions in Uncontrollable Environment. In: 2024 Conference on Cognitive Computational Neuroscience, A8. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, August 06, 2024 - August 09, 2024. (2024)

Teng, T.; Wenliang, L.; Zhang, H.: Bounded rationality in structured density estimation. In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023). Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, December 10, 2023 - December 16, 2023. (2023)

Chen, J.; Teng, T.; Shao, Y.; Zhang, H.: The computational constraints underlying human learning of probabilistic rules. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 208. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Teng, T.; Dayan, P.: Level Heading: Meta-Decision making about Hierarchical Planning. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 1165. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Teng, T.: Meta-Decision-Making in Hierarchical Planning. Braitenberg 100: Symposium on Past, Present, and Future of Computational Neuroscience, Tübingen, Germany (2026)

Chen, J.; Teng, T.; Shao, Y.; Zhang, H.: Bounded hypothesis testing underlying human learning of probabilistic rules. 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA (2025)

Chen, J.; Teng, T.; Shao, Y.; Zhang, H.: Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model. 17th Annual Meeting of the Chinese Neuroscience Society (CNS 2024), Suzhou, China (2024)

Teng, T.; Dayan, P.: Meta-decision-making in hierarchical planning. (submitted)