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» Expressive Planning and Explicit Knowledge
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AGENTS
2001
Springer
13 years 12 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
ATAL
2010
Springer
13 years 7 months ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
KES
2004
Springer
14 years 22 days ago
Epistemic Logic and Planning
Artificial Intelligence algorithms can be divided into two groups according to the type of problems they solve. Knowledge-intensive domains contain explicit knowledge, whereas know...
Shahin Maghsoudi, Ian Watson
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
14 years 2 months ago
Stochastic mobility-based path planning in uncertain environments
— The ability of mobile robots to generate feasible trajectories online is an important requirement for their autonomous operation in unstructured environments. Many path generat...
Gaurav Kewlani, Genya Ishigami, Karl Iagnemma
CORR
2006
Springer
116views Education» more  CORR 2006»
13 years 7 months ago
Building Scenarios for Environmental Management and Planning: An IT-Based Approach
Oftentimes, the need to build multidiscipline knowledge bases, oriented to policy scenarios, entails the involvement of stakeholders in manifold domains, with a juxtaposition of d...
Dino Borri, Domenico Camarda