1233 search results - page 135 / 247 » Reinforcement Learning in MirrorBot |
129
Voted
ATAL
2009
Springer
15 years 10 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...
144
Voted
WOSS
2004
ACM
15 years 9 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...
121
Voted
ICML
2003
IEEE
16 years 4 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...
120
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
120
Voted
MICAI
2009
Springer
15 years 10 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...