4345 search results - page 1 / 869 » Relational Reinforcement Learning |
103
Voted
AAMAS
2002
Springer
14 years 9 months ago
2002
Springer
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
ILP
2007
Springer
15 years 3 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
67
Voted
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
LAMAS
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...