Harnessing Supervised Learning Techniques for the Task Planning of Ambulance Rescue Agents.
Fadwa SakrSlim AbdennadherPublished in: ICAART (1) (2016)
Keyphrases
- supervised learning
- reactive agents
- robocup rescue
- multi agent systems
- multi agent
- multi agent planning
- single agent
- multiple agents
- autonomous agents
- action selection
- multiagent systems
- intelligent agents
- reinforcement learning
- decision theoretic
- uncertain environments
- planning problems
- disaster relief
- agent architecture
- software agents
- financial investment
- plan execution
- agent behavior
- unsupervised learning
- real time strategy games
- learning tasks
- intelligent behavior
- planning process
- training data
- semi supervised
- resource allocation
- cooperative
- incomplete knowledge
- machine learning
- agent systems
- path finding
- agent model
- information gathering
- dynamic environments
- active learning
- collective intelligence
- artificial agents
- trust model
- partial observability
- decision making
- heuristic search
- mobile agents
- data sets
- real time search algorithms
- partial plans
- domain independent
- incomplete information
- search and rescue
- multiple instance learning