4544 search results - page 219 / 909 » Reinforcement Learning with Time |
TIME
2003
IEEE
14 years 3 months ago
2003
IEEE
ICML
2009
IEEE
14 years 11 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...
ICML
2001
IEEE
14 years 11 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...
ECML
2007
Springer
14 years 4 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 ...
ACSE
2000
ACM
14 years 2 months ago
2000
ACM
The University of Queensland has recently established a new design-focused, studio-based IT degree at a new “flexible-learning” campus. The Bachelor of Information Environment...