388 search results - page 57 / 78 » Learning to Optimize Plan Execution in Information Agents |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
EDBT
2006
ACM
14 years 8 months ago
2006
ACM
Federated queries are regular relational queries accessing data on one or more remote relational or non-relational data sources, possibly combining them with tables stored in the ...
AAAI
2008
13 years 11 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
HICSS
2003
IEEE
14 years 1 months ago
2003
IEEE
Networks utilizing modern communication technologies can offer competitive advantages to those using them wisely. But due to the existence of network effects, planning and operati...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...