473 search results - page 87 / 95 » Programmable Reinforcement Learning Agents |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
GLOBECOM
2008
IEEE
13 years 8 months ago
2008
IEEE
Traditional hop-by-hop dynamic routing makes inefficient use of network resources as it forwards packets along already congested shortest paths while uncongested longer paths may b...
ATAL
2004
Springer
14 years 2 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
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...
ATAL
2003
Springer
14 years 1 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...