Changmin Yu

15 papers A* 6A 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical Successor Representation for Robust Transfer.
CoRR
Changmin Yu, Máté Lengyel
2025 A* conf
Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA.
ICLR
Changmin Yu, Maneesh Sahani, Máté Lengyel
2023 A* conf
Successor-Predecessor Intrinsic Exploration.
NeurIPS
Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman
2023 J jnl
Successor-Predecessor Intrinsic Exploration.
CoRR
Changmin Yu, Neil Burgess, Maneesh Sahani, Sam Gershman
2023 A conf
Unsupervised representation learning with recognition-parametrised probabilistic models.
AISTATS
William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani
2022 J jnl
Amortised Inference in Structured Generative Models with Explaining Away.
CoRR
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
2022 A* conf
Learning State Representations via Retracing in Reinforcement Learning.
ICLR
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2022 J jnl
SEREN: Knowing When to Explore and When to Exploit.
CoRR
Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
2022 A* conf
Structured Recognition for Generative Models with Explaining Away.
NeurIPS
Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani
2022 J jnl
Unsupervised representational learning with recognition-parametrised probabilistic models.
CoRR
William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani
2022 A* conf
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.
AAAI
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021 J jnl
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention.
CoRR
David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021 J jnl
Learning State Representations via Retracing in Reinforcement Learning.
CoRR
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
2021 A* conf
Prediction and generalisation over directed actions by grid cells.
ICLR
Changmin Yu, Timothy Behrens, Neil Burgess
2020 J jnl
Prediction with directed transitions: complex eigenstructure, grid cells and phase coding.
CoRR
Changmin Yu, Timothy Edward John Behrens, Neil Burgess