paper-conference

LogiEx: Integrating Formal Logic and Large Language Model for Explainable Planning
Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T. Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma
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Observation Adaptation via Annealed Importance Resampling for POMDPs
Partially observable Markov decision processes (POMDPs) are a general mathematical model for sequential decision-making in stochastic …
Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Abhishek Dubey
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Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems
Vehicle-to-building (V2B) systems combine physical infrastructure such as smart buildings and electric vehicles (EVs) connected to …
Rishav Sen, Yunuo Zhang, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
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PDPTW-DB: MILP-Based Offline Route Planning for PDPTW with Driver Breaks
The Pickup and Delivery Problem with Time Windows (PDPTW) involves optimizing routes for vehicles to meet pickup and delivery requests …
Agrima Khanna, Fangqi Liu, Samir Gupta, Sophie Pavia, Ayan Mukhopadhyay, Abhishek Dubey
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Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Strategic aggregation of electric vehicle batteries as energy reservoirs can optimize power grid demand, benefiting smart and connected …
Fangqi Liu, Rishav Sen, Jose Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
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Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Fangqi Liu, Rishav Sen, Jose Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
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Scalable Decision-Making In Stochastic Environments Through Learned Temporal Abstraction
Sequential decision-making in high-dimensional continuous action spaces, particularly in stochastic environments, faces significant …
Baiting Luo, Ava Pettet, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
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Scalable Decision-Making In Stochastic Environments Through Learned Temporal Abstraction
Sequential decision-making in high-dimensional continuous action spaces, particularly in stochastic environments, faces significant …
Baiting Luo, Ava Pettet, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
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A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting
Public transit systems are paramount in lowering carbon emissions and reducing urban congestion for environmental sustainability. …
Samir Gupta, Agrima Khanna, Jose Paolo Talusan, Anwar Said, Dan Freudberg, Ayan Mukhopadhyay, Abhishek Dubey
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A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting
Public transit systems are paramount in lowering carbon emissions and reducing urban congestion for environmental sustainability. …
Samir Gupta, Agrima Khanna, Jose Paolo Talusan, Anwar Said, Dan Freudberg, Ayan Mukhopadhyay, Abhishek Dubey
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