81 search results - page 13 / 17 » The Optimal Reward Baseline for Gradient-Based Reinforcement... |
IIE
2007
13 years 7 months ago
2007
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
AGENTS
1999
Springer
13 years 12 months ago
1999
Springer
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
ATAL
2010
Springer
13 years 7 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...