2011 search results - page 29 / 403 » Universal Reinforcement Learning |
113
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
120
Voted
AAAI
1993
15 years 4 months ago
1993
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
110
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
139
Voted
AIIDE
2006
15 years 4 months ago
2006
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which syn...
118
Voted
FLAIRS
2008
15 years 5 months ago
2008
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...