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Anjishnu Kumar

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Articles

ATLAS: Actor-critic task-completion with look-ahead action simulation

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By Jiali Cheng, Anjishnu Kumar, Roshan Lal
| Amazon Science
We observe that current state-of-the-art web-agents are unable to effectively adapt to new environments without neural network fine-tuning, without which they produce inefficient execution plans due to a lack of awareness of the structure and dynamics of the new environment.
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Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding

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By Anjishnu Kumar, Arpit Gupta, Sam Tucker, Bjorn Hoffmeister, Björn Hoffmeister
| Amazon Science
At Amazon, we're working to be the Earth’s most customer-centric company. The goal of JP Last Mile Technology Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.
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Learning when not to answer: A ternary reward structure for reinforcement learning based question answering

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By Frédéric Godin, Anjishnu Kumar, Arpit Mittal
| Amazon Science
In this paper, we investigate the challenges of using reinforcement learning agents for question-answering over knowledge graphs for real-world applications. We examine the performance metrics used by state-of-the-art systems and determine that they are inadequate for such settings. More specifically, they do not evaluate the systems correctly for situations when there is no answer available and thus agents optimized for these metrics are poor at modeling confidence.
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