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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 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 10 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 10 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 9 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