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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 9 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
HPDC
2000
IEEE
15 years 9 months ago
Automatic Configuration and Run-time Adaptation of Distributed Applications
Increased platform heterogeneity and varying resource availability in distributed systems motivates the design of resource-aware applications, which ensure a desired performance l...
Fangzhe Chang, Vijay Karamcheti
ICDCS
1995
IEEE
15 years 9 months ago
A Competitive Analysis for Retransmission Timeout
Protocols that provide reliable communicationon top of a network that can lose packets rely on periodically retransmitting packets. The choice of retransmission timeout critically...
Shlomi Dolev, Michael Kate, Jennifer L. Welch
AAAI
2008
15 years 8 months ago
Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications
In a class of games known as Stackelberg games, one agent (the leader) must commit to a strategy that can be observed by the other agent (the adversary/follower) before the advers...
Praveen Paruchuri, Jonathan P. Pearce, Janusz Mare...
IEEESCC
2010
IEEE
15 years 8 months ago
An Assessment of Middleware Platforms for Accessing Remote Services
Due to the shift from software-as-a-product (SaaP) to software-as-a-service (SaaS), software components that were developed to run in a single address space must increasingly be a...
Young-Woo Kwon, Eli Tilevich, William R. Cook