Changmin Yu

According to our database, Changmin Yu authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Successor-Predecessor Intrinsic Exploration.

Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised representation learning with recognition-parametrised probabilistic models.

William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Unsupervised representational learning with recognition-parametrised probabilistic models.

William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani

CoRR, 2022

Amortised Inference in Structured Generative Models with Explaining Away.

Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani

CoRR, 2022

SEREN: Knowing When to Explore and When to Exploit.

Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess

CoRR, 2022

Structured Recognition for Generative Models with Explaining Away.

Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning State Representations via Retracing in Reinforcement Learning.

Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess

Proceedings of the Tenth International Conference on Learning Representations, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.

Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention.

David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang

CoRR, 2021

Prediction and generalisation over directed actions by grid cells.

Changmin Yu, Timothy Behrens, Neil Burgess

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Prediction with directed transitions: complex eigenstructure, grid cells and phase coding.

Changmin Yu, Timothy Edward John Behrens, Neil Burgess

CoRR, 2020