132 search results - page 3 / 27 » Generalization in Reinforcement Learning: Safely Approximati... |
AMAI
2004
Springer
14 years 15 days ago
2004
Springer
ATAL
2009
Springer
14 years 1 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...
ICRA
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
ESANN
2008
13 years 8 months ago
2008
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
NIPS
2001
13 years 8 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...