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01/02/2023
Towards Modeling and Influencing the Dynamics of Human Learning
Humans have internal models of robots (like their physical capabilities)...
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10/21/2022
Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale
We present Amos, a stochastic gradient-based optimizer designed for trai...
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05/23/2022
Simple Recurrence Improves Masked Language Models
In this work, we explore whether modeling recurrence into the Transforme...
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09/29/2021
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
An outstanding challenge with safety methods for human-robot interaction...
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09/26/2021
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots
A human-centered robot needs to reason about the cognitive limitation an...
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08/30/2021
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning
The highly popular Transformer architecture, based on self-attention, is...
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06/04/2021
Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios
Safety assurance is a critical yet challenging aspect when developing se...
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03/07/2021
Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
Reward function, as an incentive representation that recognizes humans' ...
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10/04/2020
Local Additivity Based Data Augmentation for Semi-supervised NER
Named Entity Recognition (NER) is one of the first stages in deep langua...
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09/03/2020
Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem
Classical game-theoretic approaches for multi-agent systems in both the ...
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10/19/2019
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Neural conditional text generation systems have achieved significant pro...
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10/16/2019
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
For a foreseeable future, autonomous vehicles (AVs) will operate in traf...
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09/27/2019
Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning
It is a long-standing goal of artificial intelligence (AI) to be superio...
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10/01/2018
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts
In this paper, we propose a decision making algorithm for autonomous veh...
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05/24/2018
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Embedding models for entities and relations are extremely useful for rec...
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06/08/2016
Learning Semantically and Additively Compositional Distributional Representations
This paper connects a vector-based composition model to a formal semanti...
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11/26/2015