37 search results - page 4 / 8 » An analytic solution to discrete Bayesian reinforcement lear... |
101
click to vote
NIPS
1996
15 years 1 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
82
Voted
FUZZIEEE
2007
IEEE
15 years 6 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
135
click to vote
ABIALS
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
NETCOOP
2007
Springer
15 years 5 months ago
2007
Springer
Recently Gerald Ash has shown through case studies that event dependent routing is attractive in large scale multi-service MPLS networks. In this paper, we consider the application...
112
click to vote
ATAL
2010
Springer
14 years 12 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...