Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
The academic field of information systems has developed because organizations use a specialized body of knowledge about information and communications systems. Teaching and resear...
PABLO' is a nonlinear planner that reasons hially by generating abstract predicates. PABLO's abstract search spaces are generated automatically using predicate relaxatio...
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
— We present an anytime algorithm for planning paths through high-dimensional, non-uniform cost search spaces. Our approach works by generating a series of Rapidly-exploring Rand...