1235 search results - page 153 / 247 » ABC Reinforcement Learning |
118
Voted
IJCAI
2001
15 years 2 months ago
2001
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
117
Voted
ATAL
2004
Springer
15 years 6 months ago
2004
Springer
Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies’ use of pheromones as...
109
Voted
ISADS
1999
IEEE
15 years 5 months ago
1999
IEEE
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
112
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
107
Voted
JAIR
2011
14 years 7 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...