651 search results - page 36 / 131 » Algorithms for Inverse Reinforcement Learning |
COLT
1994
Springer
14 years 1 months ago
1994
Springer
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
ATAL
2007
Springer
14 years 3 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
GLOBECOM
2010
IEEE
13 years 7 months ago
2010
IEEE
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
PDPTA
2003
13 years 10 months ago
2003
— In this paper we present a library of classes for programming reinforcement learning simulations in Java. This library is based upon the standard by Sutton and Santamaria [1], ...
ICCCI
2011
Springer
12 years 8 months ago
2011
Springer
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...