Montana, Giovanni

26 publications

MLJ 2025 Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing Yue Jin, Shuangqing Wei, Giovanni Montana

NeurIPS 2025 Efficient Verified Unlearning for Distillation Yijun Quan, Zushu Li, Giovanni Montana

AAAI 2025 Investigating Relational State Abstraction in Collaborative MARL Sharlin Utke, Jeremie Houssineau, Giovanni Montana

ICLR 2025 Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement Learning Mianchu Wang, Yue Jin, Giovanni Montana

ECML-PKDD 2025 Offline Reinforcement Learning for Community-Acquired Pneumonia Management: A Feasibility Study Alex Beeson, Keith Couper, Giovanni Montana

NeurIPS 2025 Retrosynthesis Planning via Worst-Path Policy Optimisation in Tree-Structured MDPs Mianchu Wang, Giovanni Montana

TMLR 2025 State-Constrained Offline Reinforcement Learning Charles Alexander Hepburn, Yue Jin, Giovanni Montana

NeurIPS 2025 Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations Yujie Zhu, Charles Alexander Hepburn, Matthew Thorpe, Giovanni Montana

TMLR 2024 An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson, David Ireland, Giovanni Montana

MIDL 2024 Automated Ranking of Chest X-Ray Radiological Finding Severity in a Binary Label Setting Matthew Macpherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana

MLJ 2024 Balancing Policy Constraint and Ensemble Size in Uncertainty-Based Offline Reinforcement Learning Alex Beeson, Giovanni Montana

TMLR 2024 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

MLJ 2024 Goal-Conditioned Offline Reinforcement Learning Through State Space Partitioning Mianchu Wang, Yue Jin, Giovanni Montana

TMLR 2024 Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana

MLJ 2024 Model-Based Trajectory Stitching for Improved Behavioural Cloning and Its Applications Charles A. Hepburn, Giovanni Montana

ICLR 2024 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes David Ireland, Giovanni Montana

MLJ 2023 Learning Multi-Agent Coordination Through Connectivity-Driven Communication Emanuele Pesce, Giovanni Montana

NeurIPSW 2022 Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning Alex Beeson, Giovanni Montana

ICML 2022 LeNSE: Learning to Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation David Ireland, Giovanni Montana

NeurIPSW 2022 Model-Based Trajectory Stitching for Improved Offline Reinforcement Learning Charles Alexander Hepburn, Giovanni Montana

MLJ 2022 Reinforcement Learning for Robotic Manipulation Using Simulated Locomotion Demonstrations Ozsel Kilinc, Giovanni Montana

NeurIPSW 2021 Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc, Giovanni Montana

ICML 2021 Solving Challenging Dexterous Manipulation Tasks with Trajectory Optimisation and Reinforcement Learning Henry J Charlesworth, Giovanni Montana

MLJ 2020 Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning Through Memory-Driven Communication Emanuele Pesce, Giovanni Montana

NeurIPS 2020 PlanGAN: Model-Based Planning with Sparse Rewards and Multiple Goals Henry Charlesworth, Giovanni Montana

CVPRW 2015 Deep Neural Networks for Anatomical Brain Segmentation Alexandre de Brébisson, Giovanni Montana