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02/01/2023
Internally Rewarded Reinforcement Learning
We study a class of reinforcement learning problems where the reward sig...
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01/09/2023
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Input
Human infant learning happens during exploration of the environment, by ...
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12/08/2022
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Natural language explanations promise to offer intuitively understandabl...
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11/28/2022
Neuro-Symbolic Spatio-Temporal Reasoning
Knowledge about space and time is necessary to solve problems in the phy...
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07/15/2022
Learning Flexible Translation between Robot Actions and Language Descriptions
Handling various robot action-language translation tasks flexibly is an ...
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07/06/2022
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning
Spatial reasoning poses a particular challenge for intelligent agents an...
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05/05/2022
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
Understanding spatial relations is essential for intelligent agents to a...
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01/17/2022
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning
Human infants learn language while interacting with their environment in...
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08/03/2021
Generalization in Multimodal Language Learning from Simulation
Neural networks can be powerful function approximators, which are able t...
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07/26/2021
Robotic Occlusion Reasoning for Efficient Object Existence Prediction
Reasoning about potential occlusions is essential for robots to efficien...
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10/30/2020
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
A key problem in computational sustainability is to understand the distr...
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11/22/2017