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Found 7 papers, 0 papers with code
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
In this paper, we first introduce an optimal control theory for partially observable Markov decision processes (POMDPs) with finite linear temporal logic constraints.
Optimal Communication and Control Strategies for a Multi-Agent System in the Presence of an Adversary
We consider a multi-agent system in which a decentralized team of agents controls a stochastic system in the presence of an adversary.
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints
Autonomous agents often operate in scenarios where the state is partially observed.
Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams
For this general model, we provide bounds on the upper (min-max) and lower (max-min) values of the game.
Multiagent Systems Systems and Control Systems and Control
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
A Bayesian variant of the existing upper confidence bound (UCB) based approaches is proposed.
Sequential Experiment Design for Hypothesis Verification
In the exploration phase, selection of experiments is such that a moderate level of confidence on the true hypothesis is achieved.
Policy Design for Active Sequential Hypothesis Testing using Deep Learning
Deep learning can be used as a tool for designing better heuristics in such problems.
