Subbarao Kambhampati
10 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Venting Weight: Analyzing the Discourse of an Online Weight Loss Forum
2016 · National Conference on Artificial Intelligence
Online social communities are becoming increasingly popular platforms for people to share information, seek emotional support, and maintain accountability for losing weight. Studying the discourse in these communities can offer insights on how users benefit …
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Synthesizing Explainable Behavior for Human-AI Collaboration
2019
As AI technologies enter our everyday lives at an ever increasing pace, there is a greater need for AI systems to work synergistically with humans. This requires AI systems to exhibit behavior that is explainable …
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Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
2017 · arXiv (Cornell University)
When AI systems interact with humans in the loop, they are often called on to provide explanations for their plans and behavior. Past work on plan explanations primarily involved the AI system explaining the correctness …
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– D3WA+ – A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning
2020 · Proceedings of the International Conference on Automated Planning and Scheduling
Recently, the D3WA system was proposed as a paradigm shift in how complex goal-oriented dialogue agents can be specified by taking a declarative view of design. However, it turns out actual users of the system …
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Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning
2020 · arXiv (Cornell University)
Human-in-the-loop Reinforcement Learning (HRL) aims to integrate human guidance with Reinforcement Learning (RL) algorithms to improve sample efficiency and performance. A common type of human guidance in HRL is binary evaluative good or bad feedback …
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Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
2022 · arXiv (Cornell University)
Creating reinforcement learning (RL) agents that are capable of accepting and leveraging task-specific knowledge from humans has been long identified as a possible strategy for developing scalable approaches for solving long-horizon problems. While previous works …
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A Mental-Model Centric Landscape of Human-AI Symbiosis
2022 · arXiv (Cornell University)
There has been significant recent interest in developing AI agents capable of effectively interacting and teaming with humans. While each of these works try to tackle a problem quite central to the problem of human-AI …
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Computing Policies That Account For The Effects Of Human Agent Uncertainty During Execution In Markov Decision Processes
2021 · arXiv (Cornell University)
When humans are given a policy to execute, there can be policy execution errors and deviations in policy if there is uncertainty in identifying a state. This can happen due to the human agent's cognitive …
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On the Planning Abilities of Large Language Models : A Critical Investigation
2023 · arXiv (Cornell University)
Intrigued by the claims of emergent reasoning capabilities in LLMs trained on general web corpora, in this paper, we set out to investigate their planning capabilities. We aim to evaluate (1) the effectiveness of LLMs …
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Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract)
2023
Dealing with planning problems with both logical relations and numeric changes in real-world dynamic environments is challenging. Existing numeric planning systems for the problem often discretize numeric variables or impose convex constraints on numeric variables, …