Dazeley, Richard

7 publications

TMLR 2026 Diversity Sampling Regularization for Multi-Domain Generalization Lakpa Tamang, Mohamed Reda Bouadjenek, Sunil Aryal, Richard Dazeley

AAAI 2025 DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu

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

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