MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning

Adam Callaghan, Karl Mason, Patrick Mannion. MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning. Neurocomputing, 664:132032, 2026. [doi]

@article{CallaghanMM26,
  title = {MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning},
  author = {Adam Callaghan and Karl Mason and Patrick Mannion},
  year = {2026},
  doi = {10.1016/j.neucom.2025.132032},
  url = {https://doi.org/10.1016/j.neucom.2025.132032},
  researchr = {https://researchr.org/publication/CallaghanMM26},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {664},
  pages = {132032},
}