210 search results - page 8 / 42 » An analysis of reinforcement learning with function approxim... |
ICML
2008
IEEE
16 years 13 days ago
2008
IEEE
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
136
Voted
PKDD
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
165
Voted
Publication
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
76
Voted
ICML
2010
IEEE
15 years 21 days ago
2010
IEEE
We introduce new, efficient algorithms for value iteration with multiple reward functions and continuous state. We also give an algorithm for finding the set of all nondominated a...
88
Voted
CCIA
2005
Springer
15 years 5 months ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...