449 search results - page 27 / 90 » Finding Structure in Reinforcement Learning |
126
Voted
ATAL
2004
Springer
15 years 9 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...
116
Voted
ACMICEC
2007
ACM
15 years 7 months ago
2007
ACM
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
125
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
182
Voted
AAMAS
2005
Springer
15 years 3 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
118
Voted
ISNN
2007
Springer
15 years 9 months ago
2007
Springer
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...