Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back. - Trevor A. McInroe (CoRR, 2020)

Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters. - Trevor A. McInroe; Michael Spurrier; Jennifer Sieber; Stephen Conneely (CoRR, 2021)

Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning. - Trevor McInroe; Lukas Schäfer 001; Stefano V. Albrecht (CoRR, 2021)

Deep reinforcement learning for multi-agent interaction. - Ibrahim H. Ahmed 006; Cillian Brewitt; Ignacio Carlucho; Filippos Christianos; Mhairi Dunion; Elliot Fosong; Samuel Garcin; Shangmin Guo; Balint Gyevnar; Trevor McInroe; Georgios Papoudakis; Arrasy Rahman; et al. (AI Commun., 2022)

Learning Representations for Control with Hierarchical Forward Models. - Trevor McInroe; Lukas Schäfer 001; Stefano V. Albrecht (CoRR, 2022)

Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. - Mhairi Dunion; Trevor McInroe; Kevin Sebastian Luck; Josiah P. Hanna; Stefano V. Albrecht (ICLR, 2023)

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. - Mhairi Dunion; Trevor McInroe; Kevin Sebastian Luck; Josiah Hanna; Stefano V. Albrecht (NeurIPS, 2023)

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. - Trevor McInroe; Stefano V. Albrecht; Amos J. Storkey (CoRR, 2023)

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. - Trevor McInroe; Adam Jelley; Stefano V. Albrecht; Amos J. Storkey (RLJ, 2024)

Efficient Offline Reinforcement Learning: The Critic is Critical. - Adam Jelley; Trevor McInroe; Sam Devlin; Amos J. Storkey (CoRR, 2024)

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. - Trevor McInroe; Lukas Schäfer 001; Stefano V. Albrecht (Trans. Mach. Learn. Res., 2024)

LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. - Dongge Han; Trevor McInroe; Adam Jelley; Stefano V. Albrecht; Peter Bell 001; Amos J. Storkey (COLING, 2025)

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. - Samuel Garcin; Trevor McInroe; Pablo Samuel Castro; Christopher G. Lucas; David Abel; Prakash Panangaden; Stefano V. Albrecht (ICLR, 2025)

Objects matter: object-centric world models improve reinforcement learning in visually complex environments. - Weipu Zhang; Adam Jelley; Trevor McInroe; Amos J. Storkey (CoRR, 2025)

PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU. - Trevor McInroe; Samuel Garcin (CoRR, 2025)

Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics. - Leonard Hinckeldey; Elliot Fosong; Elle Miller; Rimvydas Rubavicius; Trevor McInroe; Patricia Wollstadt; Christiane B. Wiebel-Herboth; Subramanian Ramamoorthy; Stefano V. Albrecht (CoRR, 2025)