引用次数
引用: 53
H-指数: 4
I10-指数 : 2
出版物: 11
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters
Trevor A McInroe , Michael Spurrier , Jennifer Sieber , Stephen Conneely
arXiv preprint arXiv:2103.06398
1
2021
Deep reinforcement learning for multi-agent interaction
Ibrahim H Ahmed , Cillian Brewitt , Ignacio Carlucho , Filippos Christianos
AI Communications ( Preprint) 1 -12
3
2022
Temporal disentanglement of representations for improved generalisation in reinforcement learning
Mhairi Dunion , Trevor McInroe , Kevin Sebastian Luck , Josiah P Hanna
arXiv preprint arXiv:2207.05480
2
2022
Learning representations for control with hierarchical forward models
Trevor McInroe , Lukas Schäfer , Stefano V Albrecht
arXiv preprint arXiv:2206.11396
1
2022
Learning temporally-consistent representations for data-efficient reinforcement learning
Trevor McInroe , Lukas Schäfer , Stefano V Albrecht
arXiv preprint arXiv:2110.04935
3
2021
Planning to go out-of-distribution in offline-to-online reinforcement learning
Trevor McInroe , Stefano V Albrecht , Amos Storkey
arXiv preprint arXiv:2310.05723
2
2023
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
Dongge Han , Trevor McInroe , Adam Jelley , Stefano V Albrecht
arXiv preprint arXiv:2404.14285
2024
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion , Trevor McInroe , Kevin Sebastian Luck , Josiah Hanna
Advances in Neural Information Processing Systems 36
3
2024
Efficient Offline Reinforcement Learning: The Critic is Critical
Adam Jelley , Trevor McInroe , Sam Devlin , Amos Storkey
arXiv preprint arXiv:2406.13376
2024
Safe and Efficient Offline Reinforcement Learning: The Critic is Critical
Adam Jelley , Trevor McInroe , Sam Devlin , Amos Storkey
First Reinforcement Learning Safety Workshop
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back.
Trevor A. McInroe
arXiv: Learning
1
2020