2440 search results - page 25 / 488 » Abstraction Learning |
80
Voted
IJCAI
2003
14 years 11 months ago
2003
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
61
Voted
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
UM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In this paper we address the problem of prioritising feedback on the basis of multiple heterogeneous pieces of information in exploratory learning. The problem arises whe...
WOA
2001
14 years 11 months ago
2001
Acting in a dynamic environment is a complex task that requires several issues to be investigated, with the aim of controlling the associated search complexity. In this paper, a l...
84
Voted
JCP
2008
14 years 10 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...