TD-88Up: Upgraded neutral Earth's thermosphere total density TD-88 model

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Evolufion from TD-SCDMA to TD-LTE

This paper gives the brief introduction to key features of TD-SCDMA and TD-LTE (TDD Long Term Evolution). For the TD-SCDMA system, key technologies such as joint detection, smart antenna and synchronization are described and analyzed. For the TD-LTE system, important technologies such as OFDM, MIMO, uplink timing control, inter-cell interference coordination are applied. It is shown that the TD...

A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD

This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(λ), LSTD(λ), iLSTD, residual-gradient TD. It is asserted that they all consist in minimizing a gradient function and differ by the form of this function and their means of minimizing it. Two new schemes are introduced in that ...

TD Networks

We introduce a generalization of temporal-difference (TD) learning to networks of interrelated predictions. Rather than relating a single prediction to itself at a later time, as in conventional TD methods, a TD network relates each prediction in a set of predictions to other predictions in the set at a later time. TD networks can represent and apply TD learning to a much wider class of predict...

Evaluating the TD model of classical conditioning.

The temporal-difference (TD) algorithm from reinforcement learning provides a simple method for incrementally learning predictions of upcoming events. Applied to classical conditioning, TD models suppose that animals learn a real-time prediction of the unconditioned stimulus (US) on the basis of all available conditioned stimuli (CSs). In the TD model, similar to other error-correction models, ...