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05/14/2023
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
The Partially Observable Markov Decision Process (POMDP) provides a prin...
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02/21/2023
Adaptive Discretization using Voronoi Trees for Continuous POMDPs
Solving continuous Partially Observable Markov Decision Processes (POMDP...
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10/16/2022
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization
The need to learn from positive and unlabeled data, or PU learning, aris...
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09/13/2022
Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs
Solving Partially Observable Markov Decision Processes (POMDPs) with con...
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05/19/2022
A Boosting Algorithm for Positive-Unlabeled Learning
Positive-unlabeled (PU) learning deals with binary classification proble...
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06/03/2021
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Multiple-Intent Inverse Reinforcement Learning (MI-IRL) seeks to find a ...
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12/01/2020
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
We provide new perspectives and inference algorithms for Maximum Entropy...
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02/23/2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Deep reinforcement learning is successful in decision making for sophist...
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10/09/2019
Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees
The problem of learning an optimal convex combination of basis models ha...
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09/12/2016
DESPOT: Online POMDP Planning with Regularization
The partially observable Markov decision process (POMDP) provides a prin...
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03/30/2016