Changmin Yu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Probabilistic Model

Maximum Entropy Principle

Reinforcement Learning

Top Venues

Publications

William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani
Unsupervised representation learning with recognition-parametrised probabilistic models. AISTATS (2023)
Changmin Yu, Neil Burgess, Maneesh Sahani, Sam Gershman
Successor-Predecessor Intrinsic Exploration. CoRR (2023)
Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman
Successor-Predecessor Intrinsic Exploration. NeurIPS (2023)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI (2022)
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
Learning State Representations via Retracing in Reinforcement Learning. ICLR (2022)
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
Amortised Inference in Structured Generative Models with Explaining Away. CoRR (2022)
William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani
Unsupervised representational learning with recognition-parametrised probabilistic models. CoRR (2022)
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
Structured Recognition for Generative Models with Explaining Away. NeurIPS (2022)
Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
SEREN: Knowing When to Explore and When to Exploit. CoRR (2022)
Changmin Yu, Timothy Behrens, Neil Burgess
Prediction and generalisation over directed actions by grid cells. ICLR (2021)
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
Learning State Representations via Retracing in Reinforcement Learning. CoRR (2021)
David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR (2021)
Changmin Yu, Timothy Edward John Behrens, Neil Burgess
Prediction with directed transitions: complex eigenstructure, grid cells and phase coding. CoRR (2020)