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LFCS
2009
Springer
14 years 12 days ago
ATL with Strategy Contexts and Bounded Memory
We extend the alternating-time temporal logics ATL and ATL with strategy contexts and memory constraints: the first extension makes strategy quantifiers to not “forget” the s...
Thomas Brihaye, Arnaud Da Costa Lopes, Franç...
IJCAI
2007
13 years 9 months ago
Coalitional Bargaining with Agent Type Uncertainty
Coalition formation is a problem of great interest in AI, allowing groups of autonomous, individually rational agents to form stable teams. Automating the negotiations underlying ...
Georgios Chalkiadakis, Craig Boutilier
AAAI
1998
13 years 9 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
ECAI
2010
Springer
13 years 9 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
JSAC
2006
117views more  JSAC 2006»
13 years 7 months ago
A scalable network resource allocation mechanism with bounded efficiency loss
The design of pricing mechanisms for network resource allocation has two important objectives: 1) a simple and scalable end-to-end implementation and 2) efficiency of the resulting...
Ramesh Johari, John N. Tsitsiklis