355 search results - page 16 / 71 » Online Learning and Exploiting Relational Models in Reinforc... |
ATAL
2007
Springer
15 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...
MM
2004
ACM
15 years 3 months ago
2004
ACM
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
ICCV
2003
IEEE
15 years 3 months ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
ATAL
2004
Springer
15 years 3 months 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...
JDCTA
2010
14 years 4 months ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...