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04/06/2023
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects
In safe MDP planning, a cost function based on the current state and act...
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12/01/2022
Shining light on data: Geometric data analysis through quantum dynamics
Experimental sciences have come to depend heavily on our ability to orga...
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07/13/2022
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting
Deep learning has been actively applied to time-series forecasting, lead...
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05/02/2022
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
Modern software systems rely on mining insights from business sensitive ...
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03/23/2022
Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
Recent advances in deep learning have enabled optimization of deep react...
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02/12/2022
InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging Tools
Existing approaches for embedding unobtrusive tags inside 3D objects req...
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02/03/2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Deep learning has been actively studied for time series forecasting, and...
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02/03/2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Transformers have been actively studied for time-series forecasting in r...
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12/20/2021
Manifold learning via quantum dynamics
We introduce an algorithm for computing geodesics on sampled manifolds t...
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11/09/2020
Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems
Solving multiagent problems can be an uphill task due to uncertainty in ...
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12/03/2018
Resource Constrained Deep Reinforcement Learning
In urban environments, supply resources have to be constantly matched to...
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04/09/2018
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Decentralized (PO)MDPs provide an expressive framework for sequential de...
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12/01/2016
Robust Optimization for Tree-Structured Stochastic Network Design
Stochastic network design is a general framework for optimizing network ...
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03/15/2012
Anytime Planning for Decentralized POMDPs using Expectation Maximization
Decentralized POMDPs provide an expressive framework for multi-agent seq...
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02/14/2012
