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Found 5 papers, 1 papers with code
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning
Markov games model interactions among multiple players in a stochastic, dynamic environment.
Deceptive Planning for Resource Allocation
We consider a team of autonomous agents that navigate in an adversarial environment and aim to achieve a task by allocating their resources over a set of target locations.
Multi-Objective Controller Synthesis with Uncertain Human Preferences
Complex real-world applications of cyber-physical systems give rise to the need for multi-objective controller synthesis, which concerns the problem of computing an optimal controller subject to multiple (possibly conflicting) criteria.
Towards Personalized Explanation of Robot Path Planning via User Feedback
Prior studies have found that explaining robot decisions and actions helps to increase system transparency, improve user understanding, and enable effective human-robot collaboration.
Towards Transparent Robotic Planning via Contrastive Explanations
Providing explanations of chosen robotic actions can help to increase the transparency of robotic planning and improve users' trust.
