1799 search results - page 232 / 360 » Filtered Reinforcement Learning |
129
Voted
UIC
2007
Springer
15 years 8 months ago
2007
Springer
We propose a novel reasoning engine for context-aware ubiquitous computing middleware in this paper. Our reasoning engine supports both rulebased reasoning and machine learning rea...
177
Voted
DATAMINE
2010
15 years 3 hour ago
2010
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
107
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
144
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
116
click to vote
ECML
2007
Springer
15 years 8 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...