171 search results - page 19 / 35 » Principled Methods for Advising Reinforcement Learning Agent... |
102
Voted
ICRA
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
107
Voted
TSMC
2008
15 years 12 days ago
2008
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
102
Voted
ATAL
2009
Springer
15 years 7 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...
113
Voted
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
117
Voted
ICRA
2009
IEEE
15 years 7 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...