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07/14/2023
Value-based Fast and Slow AI Nudging
Nudging is a behavioral strategy aimed at influencing people's thoughts ...
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07/05/2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Text-based reinforcement learning agents have predominantly been neural ...
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06/18/2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
With the growing interest in large language models, the need for evaluat...
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05/25/2023
Understanding the Capabilities of Large Language Models for Automated Planning
Automated planning is concerned with developing efficient algorithms to ...
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03/07/2023
Fast and Slow Planning
The concept of Artificial Intelligence has gained a lot of attention ove...
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12/16/2022
Plansformer: Generating Symbolic Plans using Transformers
Large Language Models (LLMs) have been the subject of active research, s...
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10/23/2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
Machine learning problems with multiple objective functions appear eithe...
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08/22/2022
Targeted Advertising on Social Networks Using Online Variational Tensor Regression
This paper is concerned with online targeted advertising on social netwo...
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02/02/2022
Auto-Transfer: Learning to Route Transferrable Representations
Knowledge transfer between heterogeneous source and target networks and ...
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10/16/2021
Case-based Reasoning for Better Generalization in Text-Adventure Games
Text-based games (TBG) have emerged as promising environments for drivin...
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06/09/2021
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents
Text-based games (TBGs) have become a popular proving ground for the dem...
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10/12/2020
Thinking Fast and Slow in AI
This paper proposes a research direction to advance AI which draws inspi...
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10/08/2020
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Text-based games have emerged as an important test-bed for Reinforcement...
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05/02/2020
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge
In this paper, we consider the recent trend of evaluating progress on re...
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03/03/2017
Co-Clustering for Multitask Learning
This paper presents a new multitask learning framework that learns a sha...
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03/02/2017
Self-Paced Multitask Learning with Shared Knowledge
This paper introduces self-paced task selection to multitask learning, w...
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11/10/2016
