Uppercase are used for sets, and Greek letters represent parameters of the algorithms.
Set of states. | |
Individual states. Full views. | |
Number of states. | |
fd | Set of feature detectors. |
fdfd | Partial view of order . |
Set of actions of the robot. | |
Number of actions. | |
Set of elementary actions. | |
Number of motors of the robot. | |
Elementary action that assigns value to motor . | |
Partial command of order . | |
Action. Combination of elementary actions. Full command. | |
Partial rule composed by partial view and partial command . | |
The empty partial rule. | |
Composition of two partial rules. | |
Controller or set of partial rules. | |
Maximum number of elements of . | |
Subset of rules active at a given time step and at the previous one. | |
Active rules with a partial command in accordance with . | |
Expected value of the partial rule . | |
Expected error in the value estimation of the partial rule . | |
Average error in the value prediction. | |
Confidence index. | |
Confidence on the statistics of the partial rule . | |
Top value of the confidence. | |
Index where the confidence function reaches the value . | |
Error in the return prediction of the partial rule . | |
Relevance of rule . | |
Value interval of the partial rule . | |
Updating ratio for the statistics of the partial rule . | |
Learning rate. Top value of . | |
Number of times rule has been used. | |
Most relevant active partial rule w.r.t. action . | |
Most reliable value estimation for action . | |
Reward received after the execution of . | |
Discount factor. | |
Goodness of a given situation. | |
Value of executing action in given situation. | |
Number of new partial rules created at a time. | |
Redundancy threshold used for partial-rule elimination. |
Josep M Porta 2005-02-17