615 search results - page 36 / 123 » A social reinforcement learning agent |
103
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
121
Voted
ROBOCUP
2005
Springer
15 years 6 months ago
2005
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
105
Voted
CIG
2005
IEEE
15 years 6 months ago
2005
IEEE
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
99
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...