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5 papers · 2 filters
Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration
Jacopo Tagliabue, Reuben Cohn-Gordon
Information retrieval (IR) systems need to constantly update their knowledge as target objects and user queries change over time. Due to the power-law nature of linguistic data, le…
Regression Planning Networks
Danfei Xu, Roberto Martín-Martín, De-An Huang +3
Recent learning-to-plan methods have shown promising results on planning directly from observation space. Yet, their ability to plan for long-horizon tasks is limited by the accura…
Playing Go without Game Tree Search Using Convolutional Neural Networks
Jeffrey Barratt, Chuanbo Pan
The game of Go has a long history in East Asian countries, but the field of Computer Go has yet to catch up to humans until the past couple of years. While the rules of Go are simp…
Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
Shushman Choudhury, Mykel J. Kochenderfer
Sequential decision problems in applications such as manipulation in warehouses, multi-step meal preparation, and routing in autonomous vehicle networks often involve reasoning abo…
Explaining intuitive difficulty judgments by modeling physical effort and risk
Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre +3
The ability to estimate task difficulty is critical for many real-world decisions such as setting appropriate goals for ourselves or appreciating others' accomplishments. Here we g…