41 search results - page 5 / 9 » Heuristic Reinforcement Learning Applied to RoboCup Simulati... |
ML
1998
ACM
13 years 7 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
NIPS
2000
13 years 8 months ago
2000
For many problems which would be natural for reinforcement learning, the reward signal is not a single scalar value but has multiple scalar components. Examples of such problems i...
AAAI
2010
13 years 9 months ago
2010
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
AGENTS
2001
Springer
13 years 12 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...