417 search results - page 12 / 84 » Reinforcement Learning Estimation of Distribution Algorithm |
108
click to vote
NIPS
2007
15 years 1 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
104
click to vote
AROBOTS
1999
14 years 11 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
ACL
2009
14 years 9 months ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
100
click to vote
ATAL
2010
Springer
15 years 23 days ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
100
click to vote
ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...