Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Chen Shuxiao"'
In an observational study, it is common to leverage known null effect to detect bias. One such strategy is to set aside a placebo sample -- a subset of data immune from the hypothesized cause-and-effect relationship. Existence of an effect in the pla
Externí odkaz:
http://arxiv.org/abs/2205.10761
We study one-way matching of a pair of datasets with low rank signals. Under a stylized model, we first derive information-theoretic limits of matching under a mismatch proportion loss. We then show that linear assignment with projected data achieves
Externí odkaz:
http://arxiv.org/abs/2204.13858
Perception-aware receding horizon trajectory planning for multicopters with visual-inertial odometry
Visual inertial odometry (VIO) is widely used for the state estimation of multicopters, but it may function poorly in environments with few visual features or in overly aggressive flights. In this work, we propose a perception-aware collision avoidan
Externí odkaz:
http://arxiv.org/abs/2204.03134
Reinforcement learning (RL) has become a promising approach to developing controllers for quadrupedal robots. Conventionally, an RL design for locomotion follows a position-based paradigm, wherein an RL policy outputs target joint positions at a low
Externí odkaz:
http://arxiv.org/abs/2203.05194
In this paper, we present a framework rooted in control and planning that enables quadrupedal robots to traverse challenging terrains with discrete footholds using visual feedback. Navigating discrete terrain is challenging for quadrupeds because the
Externí odkaz:
http://arxiv.org/abs/2110.00891
Randomized controlled trials (RCTs) are the gold standard for evaluating the causal effect of a treatment; however, they often have limited sample sizes and sometimes poor generalizability. On the other hand, non-randomized, observational data derive
Externí odkaz:
http://arxiv.org/abs/2109.10522
Navigating a large-scaled robot in unknown and cluttered height-constrained environments is challenging. Not only is a fast and reliable planning algorithm required to go around obstacles, the robot should also be able to change its intrinsic dimensi
Externí odkaz:
http://arxiv.org/abs/2109.05714
The capabilities of autonomous flight with unmanned aerial vehicles (UAVs) have significantly increased in recent times. However, basic problems such as fast and robust geo-localization in GPS-denied environments still remain unsolved. Existing resea
Externí odkaz:
http://arxiv.org/abs/2108.03344
In this paper, we introduce Target-Aware Weighted Training (TAWT), a weighted training algorithm for cross-task learning based on minimizing a representation-based task distance between the source and target tasks. We show that TAWT is easy to implem
Externí odkaz:
http://arxiv.org/abs/2105.14095
Autor:
Chen, Shuxiao, Zhang, Bo
Estimating dynamic treatment regimes (DTRs) from retrospective observational data is challenging as some degree of unmeasured confounding is often expected. In this work, we develop a framework of estimating properly defined "optimal" DTRs with a tim
Externí odkaz:
http://arxiv.org/abs/2104.07822