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AI
2007
Springer
15 years 6 months ago
Competition and Coordination in Stochastic Games
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
Andriy Burkov, Abdeslam Boularias, Brahim Chaib-dr...
WCRE
1993
IEEE
15 years 4 months ago
Flexible Control for Program Recognition
Recognizing commonly used data structures and algorithms is a key activity in reverse engineering. Systems developed to automate this recognition process have been isolated, stand...
Linda M. Wills
FLAIRS
2003
15 years 1 months ago
Dispatching Cases versus Merging Case-Bases: When MCBR Matters
Multi-case-base reasoning (MCBR) extends case-based reasoning to draw on multiple case bases that may address somewhat different tasks. In MCBR, an agent selectively supplements i...
David B. Leake, Raja Sooriamurthi
ATAL
2005
Springer
15 years 5 months ago
Thespian: using multi-agent fitting to craft interactive drama
There has been a growing interest in designing multi-agent based interactive dramas. A key research challenge faced in the design of these systems is to support open-ended user in...
Mei Si, Stacy Marsella, David V. Pynadath
AGENTS
1999
Springer
15 years 4 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso