898 research outputs found
Searching for rewards in graph-structured spaces
How do people generalize and explore structured spaces? We study human behavior on a multi-armed bandit task, where rewards are influenced by the connectivity structure of a graph. A detailed predictive model comparison shows that a Gaussian Process regression model using a diffusion kernel is able to best describe participant choices, and also predict judgments about expected reward and confidence. This model unifies psychological models of function learning with the Successor Representation used in reinforcement learning, thereby building a bridge between different models of generalization
Differential Stability of Reciprocal Friendships and Unilateral Relationships Among Preschool Children
It was expected that reciprocal relationships would be maintained more frequently across a six-month interval than would unilateral ones. Of secondary concern was the question of whether the dimensions children offered to justify their friendships would remain more stable for reciprocal than unilateral relationships
Linear OFDM Precoder Design for Multiuser Wireless Communications Using Cutoff Rate Optimization
On Average One Bit Per Subcarrier Channel State Information Feedback in OFDM Wireless Communication Systems
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Robust Linear Receiver Design for Multi-Access Space-Time Block Coded MIMO Systems Using stochastic Optimization
Traditional receiver algorithms developed for multiple-input multiple-output (MIMO) wireless systems are based on the assumption that the channel state information (CSI) is precisely known at the receiver. However, in real environments the exact CSI may be unavailable. In this paper, we address the problem of robustness of multi-access spacetime block coded (STBC) MIMO systems against imperfect CSI. We propose a class of linear receivers which guarantee the robustness against CSI errors with a certain selected probability. The proposed formulations of robust receivers are given by probability-constrained optimization problems which can be simplified to convex forms. The latter convex problems can be efficiently solved using standard optimization methods. 1
Robust Linear Receivers for Space-Time Block Coded Multiaccess MIMO Systems With ImperfectChannel State Information
The problem of joint space-time decoding and interference rejection in multiple-access MIMO wireless communication systems is considered in the case of erroneous or limited channel state information (CSI) at the receiver. Linear beamforming-type techniques that have an improved robustness in such an imperfect CSI case are proposed. 1
Robust Linear Receivers for Multiaccess Space?Time Block-Coded MIMO Systems: A Probabilistically Constrained Approach
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