651 search results - page 106 / 131 » Algorithms for Inverse Reinforcement Learning |
92
Voted
IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
70
Voted
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
FLAIRS
2009
14 years 7 months ago
2009
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...