3412 search results - page 74 / 683 » Efficient Reinforcement Learning |
103
Voted
IWANN
1999
Springer
15 years 5 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
109
Voted
WOSS
2004
ACM
15 years 6 months ago
2004
ACM
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual compo...
118
Voted
IJCAI
2007
15 years 2 months ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
109
Voted
AAAI
1998
15 years 2 months ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
97
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...