81 search results - page 13 / 17 » Chess Neighborhoods, Function Combination, and Reinforcement... |
ATAL
2004
Springer
15 years 2 months ago
2004
Springer
This paper explores hybrid agents that use a variety of techniques to improve their performance in an environment over time. We considered, specifically, geneticlearning-parentin...
HEURISTICS
2008
14 years 9 months ago
2008
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
ICCBR
2001
Springer
15 years 1 months ago
2001
Springer
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...