31 search results - page 6 / 7 » An Agent Scheduling Optimization for Call Centers |
AAAI
2000
13 years 8 months ago
2000
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
AAAI
2006
13 years 8 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
The fastest known algorithm for solving General Bayesian Stackelberg games with a finite set of follower (adversary) types have seen direct practical use at the LAX airport for o...
WEBI
2004
Springer
14 years 22 days ago
2004
Springer
Many situations present a social choice problem where different self-interested agents have to agree on joint, coordinated decisions. For example, power companies have to agree o...
AI
1998
Springer
13 years 7 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...