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FLAIRS
2009
14 years 10 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
94
Voted
ICCBR
2007
Springer
15 years 6 months ago
Using Cases Utility for Heuristic Planning Improvement
Current efficient planners employ an informed search guided by a heuristic function that is quite expensive to compute. Thus, ordering nodes in the search tree becomes a key issue,...
Tomás de la Rosa, Angel García Olaya...
101
Voted
SARA
2007
Springer
15 years 6 months ago
Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
Abstract. We describe a way to improve the performance of MDP planners by modifying them to use lower and upper bounds to eliminate non-optimal actions during their search. First, ...
Ugur Kuter, Jiaqiao Hu
DALT
2008
Springer
15 years 2 months ago
Leveraging New Plans in AgentSpeak(PL)
Abstract. In order to facilitate the development of agent-based software, several agent programming languages and architectures, have been created. Plans in these architectures are...
Felipe Rech Meneguzzi, Michael Luck
120
Voted
AAAI
2012
13 years 2 months ago
Real-Time Collaborative Planning with the Crowd
Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
Walter S. Lasecki, Jeffrey P. Bigham, James F. All...