Vamplew, Peter

7 publications

ICLR 2025 On Generalization Across Environments in Multi-Objective Reinforcement Learning Jayden Teoh, Pradeep Varakantham, Peter Vamplew

NeurIPSW 2024 Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI Hadassah Harland, Richard Dazeley, Peter Vamplew, Hashini Senaratne, Bahareh Nakisa, Francisco Cruz

NeurIPSW 2024 Multi-Objective Reinforcement Learning: A Tool for Pluralistic Alignment Peter Vamplew, Conor F. Hayes, Cameron Foale, Richard Dazeley, Hadassah Harland

ICML 2024 Position: Intent-Aligned AI Systems Must Optimize for Agency Preservation Catalin Mitelut, Benjamin Smith, Peter Vamplew

ACML 2021 Language Representations for Generalization in Reinforcement Learning Nikolaj Goodger, Peter Vamplew, Cameron Foale, Richard Dazeley

JAIR 2013 A Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley

MLJ 2011 Empirical Evaluation Methods for Multiobjective Reinforcement Learning Algorithms Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov, Evan Dekker