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Trevor McInroe
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2020 – today
- 2024
- [j2]Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c3]Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Amos J. Storkey:
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. RLC 2024: 516-546 - [i10]Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey:
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. CoRR abs/2404.14285 (2024) - [i9]Adam Jelley, Trevor McInroe, Sam Devlin, Amos J. Storkey:
Efficient Offline Reinforcement Learning: The Critic is Critical. CoRR abs/2406.13376 (2024) - 2023
- [c2]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht:
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR 2023 - [c1]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht:
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. NeurIPS 2023 - [i8]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck
, Josiah P. Hanna, Stefano V. Albrecht:
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. CoRR abs/2305.14133 (2023) - [i7]Trevor McInroe, Stefano V. Albrecht, Amos J. Storkey:
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. CoRR abs/2310.05723 (2023) - 2022
- [j1]Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho
Deep reinforcement learning for multi-agent interaction. AI Commun. 35(4): 357-368 (2022) - [i6]Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Learning Representations for Control with Hierarchical Forward Models. CoRR abs/2206.11396 (2022) - [i5]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht:
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. CoRR abs/2207.05480 (2022) - [i4]Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR abs/2208.01769 (2022) - 2021
- [i3]Trevor A. McInroe, Michael Spurrier, Jennifer Sieber, Stephen Conneely:
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters. CoRR abs/2103.06398 (2021) - [i2]Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning. CoRR abs/2110.04935 (2021) - 2020
- [i1]Trevor A. McInroe:
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back. CoRR abs/2008.12693 (2020)
Coauthor Index
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