458 search results - page 86 / 92 » Q-Decomposition for Reinforcement Learning Agents |
107
Voted
ATAL
2004
Springer
15 years 7 months ago
2004
Springer
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
AAAI
2008
15 years 4 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...
111
click to vote
ATAL
2003
Springer
15 years 7 months ago
2003
Springer
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
114
click to vote
KI
2002
Springer
15 years 1 months ago
2002
Springer
In many approaches for qualitative spatial reasoning, navigation of an agent in a more or less static environment is considered (e.g. in the double-cross calculus [12]). However, i...
132
Voted
ATAL
2007
Springer
15 years 5 months ago
2007
Springer
Consumers use service selection mechanisms to decide on a service provider to interact with. Although there are various service selection mechanisms, each mechanism has different s...