29 search results - page 5 / 6 » Action Refinement in Reinforcement Learning by Probability S... |
95
Voted
MICAI
2010
Springer
14 years 10 months ago
2010
Springer
The full deployment of service robots in daily activities will require the robot to adapt to the needs of non-expert users, particularly, to learn how to perform new tasks from “...
110
click to vote
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
EPIA
1995
Springer
15 years 3 months ago
1995
Springer
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
GECCO
2009
Springer
15 years 6 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...
118
click to vote
AAMAS
2007
Springer
15 years 5 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...