513 search results - page 58 / 103 » Metric learning for reinforcement learning agents |
117
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...
102
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
102
Voted
ALT
2006
Springer
15 years 9 months ago
2006
Springer
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
FLAIRS
2000
15 years 1 months ago
2000
A robotic agent must coordinate its coupled concurrent behaviors to produce a coherent response to stimuli. Reinforcement learning has been used extensively in coordinating sensin...