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ATAL
2007
Springer
14 years 4 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
ILP
2007
Springer
14 years 4 months ago
Learning to Assign Degrees of Belief in Relational Domains
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Frédéric Koriche
IAT
2006
IEEE
14 years 4 months ago
An Approximate Algorithm for Resource Allocation Using Combinatorial Auctions
Combinatorial Auctions (CAs), where users bid on combination of items, have emerged as a useful tool for resource allocation in distributed systems. However, two main difficulties...
Viswanath Avasarala, Himanshu Polavarapu, Tracy Mu...
IAT
2006
IEEE
14 years 4 months ago
A Market-Based Adaptation for Resolving Competing Needs for Scarce Resources
The dynamic nature of many real-world domains (e.g., military, emergency first response and hurricane relief, etc) requires adaptive resource allocation to respond to changes in t...
Rui Wang, Tracy Mullen, Viswanath Avasarala, John ...
IROS
2006
IEEE
116views Robotics» more  IROS 2006»
14 years 4 months ago
XABSL - A Pragmatic Approach to Behavior Engineering
— This paper introduces the Extensible Agent Behavior Specification Language (XABSL) as a pragmatic tool for engineering the behavior of autonomous agents in complex and dynamic...
Martin Lötzsch, Max Risler, Matthias Jün...