Abstract-- Image computation is the core operation for optimization and formal verification of sequential systems like controllers or protocols. State exploration techniques based ...
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents, and present a framework that uses this paradigm t...
In the clock semantics for epistemic logic, two situations are indistinguishable for an agent when it makes the same observation and the time in the situations is the same. The pa...
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...