170 search results - page 13 / 34 » Learning to play Tetris applying reinforcement learning meth... |
AAAI
2006
14 years 11 months ago
2006
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
NN
2002
Springer
14 years 9 months ago
2002
Springer
In reinforcement learning (RL), the duality between exploitation and exploration has long been an important issue. This paper presents a new method that controls the balance betwe...
ICANNGA
2007
Springer
15 years 3 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
GECCO
2000
Springer
15 years 1 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...