486 search results - page 31 / 98 » A Bayesian Framework for Reinforcement Learning |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
NIPS
2000
13 years 10 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
AGENTS
1999
Springer
14 years 28 days ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
SIGIR
2004
ACM
14 years 2 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...