Trevor McInroe

22 papers A* 3B 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics. CoRR Leonard Hinckeldey, Elliot Fosong, Elle Miller, Rimvydas Rubavicius, Trevor McInroe, Patricia Wollstadt, Christiane B. Wiebel-Herboth, Subramanian Ramamoorthy, Stefano V. Albrecht
2025	J	`jnl`	Enhancing Tactile-based Reinforcement Learning for Robotic Control. CoRR Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar
2025	J	`jnl`	Forgetting is Everywhere. CoRR Ben Sanati, Thomas L. Lee, Trevor McInroe, Aidan Scannell, Nikolay Malkin, David Abel, Amos Storkey
2025	B	`conf`	LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. COLING Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey
2025	J	`jnl`	Objects matter: object-centric world models improve reinforcement learning in visually complex environments. CoRR Weipu Zhang, Adam Jelley, Trevor McInroe, Amos J. Storkey
2025	J	`jnl`	PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU. CoRR Trevor McInroe, Samuel Garcin
2025	A*	`conf`	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. ICLR Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht
2025	J	`jnl`	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. CoRR Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Prakash Panangaden, Christopher G. Lucas, David Abel, Stefano V. Albrecht
2025	J	`jnl`	Terra Nova: A Comprehensive Challenge Environment for Intelligent Agents. CoRR Trevor McInroe
2024	J	`jnl`	Efficient Offline Reinforcement Learning: The Critic is Critical. CoRR Adam Jelley, Trevor McInroe, Sam Devlin, Amos J. Storkey
2024	J	`jnl`	LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. CoRR Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey
2024	J	`jnl`	Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2024	J	`jnl`	Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. RLJ Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Amos J. Storkey
2023	A*	`conf`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. NeurIPS Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2023	J	`jnl`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2023	J	`jnl`	Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning. CoRR Trevor McInroe, Stefano V. Albrecht, Amos J. Storkey
2023	A*	`conf`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2022	J	`jnl`	Deep Reinforcement Learning for Multi-Agent Interaction. CoRR 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
2022	J	`jnl`	Deep reinforcement learning for multi-agent interaction. AI Commun. 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
2022	J	`jnl`	Learning Representations for Control with Hierarchical Forward Models. CoRR Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2022	J	`jnl`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2021	J	`jnl`	Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning. CoRR Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht