Bucket elimination for multiobjective optimization problems
Journal of Heuristics
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
The Journal of Machine Learning Research
Bounded decentralised coordination over multiple objectives
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
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In this paper we propose multi-objective variable elimination (MOVE), an efficient solution method for multi-objective collaborative graphical games (MO-CoGGs), that exploits loose couplings. MOVE computes the convex coverage set, which can be much smaller than the Pareto front. In an empirical study, we show that MOVE can tackle multi-objective problems much faster than methods that do not exploit loose couplings.