Trevor McInroe

According to our database, Trevor McInroe authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning.

Trevor McInroe, Stefano V. Albrecht, Amos J. Storkey

CoRR, 2023

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning.

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht

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

Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning.

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning Representations for Control with Hierarchical Forward Models.

Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht

CoRR, 2022

Deep reinforcement learning for multi-agent interaction.

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, Cheng Wang, Stefano V. Albrecht

AI Commun., 2022

2021

Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning.

Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht

CoRR, 2021

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters.

Trevor A. McInroe, Michael Spurrier, Jennifer Sieber, Stephen Conneely

CoRR, 2021

2020

Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back.

Trevor A. McInroe

CoRR, 2020