A practical guide to multi-objective reinforcement learning and planning
Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions
Approximating voting rules from truncated ballots
What values should an agent align with?
Privacy preserving planning in multi-agent stochastic environments
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
Representing and reasoning about auctions
Formal verification of group and propagated trust in multi-agent systems
The complexity of election problems with group-separable preferences
Designing empathic virtual agents: manipulating animation, voice, rendering, and empathy to create persuasive agents
Mandrake: multiagent systems as a basis for programming fault-tolerant decentralized applications
Verification of multi-layered assignment problems
Redividing the cake
Exploiting environmental signals to enable policy correlation in large-scale decentralized systems
Manipulation-resistant false-name-proof facility location mechanisms for complex graphs
Online revenue maximization for server pricing
An explainable assistant for multiuser privacy
Unravelling multi-agent ranked delegations
Fair allocation of conflicting items
Gini index based initial coin offering mechanism
Formal verification of neural agents in non-deterministic environments
Candidate selections with proportional fairness constraints
Input addition and deletion in reinforcement: towards protean learning
Fair allocation of indivisible goods and chores
Combining quantitative and qualitative reasoning in concurrent multi-player games
Evaluating approval-based multiwinner voting in terms of robustness to noise
