179 search results - page 7 / 36 » Learning Relational Navigation Policies |
ECML
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
IJCAI
2001
13 years 9 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
FLAIRS
2007
13 years 9 months ago
2007
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
ATAL
2004
Springer
14 years 28 days ago
2004
Springer
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
ICALT
2007
IEEE
13 years 9 months ago
2007
IEEE
Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, th...