615 search results - page 61 / 123 » A social reinforcement learning agent |
79
Voted
NIPS
2004
15 years 2 months ago
2004
Psychologists call behavior intrinsically motivated when it is engaged in for its own sake rather than as a step toward solving a specific problem of clear practical value. But wh...
119
Voted
IPOM
2007
Springer
15 years 7 months ago
2007
Springer
We present a framework of cognitive network management by means of an autonomic reconfiguration scheme. We propose a network architecture that enables intelligent services to meet ...
103
Voted
EWCBR
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
119
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
81
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...