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05/29/2023
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration
In online reinforcement learning (online RL), balancing exploration and ...
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04/03/2023
One-Shot View Planning for Fast and Complete Unknown Object Reconstruction
Current view planning (VP) systems usually adopt an iterative pipeline w...
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02/27/2023
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning
Self-supervised methods have become crucial for advancing deep learning ...
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12/13/2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting
In time series forecasting, decomposition-based algorithms break aggrega...
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06/07/2022
On the Role of Discount Factor in Offline Reinforcement Learning
Offline reinforcement learning (RL) enables effective learning from prev...
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03/21/2022
Optimizing Binary Decision Diagrams with MaxSAT for classification
The growing interest in explainable artificial intelligence (XAI) for cr...
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03/18/2022
Reinforcement Learning Approach to Clear Paths of Robots in Elevator Environment
Efficiently using the space of an elevator for a service robot is very n...
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10/19/2021
Offline Reinforcement Learning with Value-based Episodic Memory
Offline reinforcement learning (RL) shows promise of applying RL to real...
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09/29/2021
On the Estimation Bias in Double Q-Learning
Double Q-learning is a classical method for reducing overestimation bias...
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03/11/2021
Generalizable Episodic Memory for Deep Reinforcement Learning
Episodic memory-based methods can rapidly latch onto past successful str...
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06/15/2020
Learn to Effectively Explore in Context-Based Meta-RL
Meta reinforcement learning (meta-RL) provides a principled approach for...
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04/27/2020
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
Multi-label networks with branches are proved to perform well in both ac...
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02/15/2019
Learning to Adaptively Scale Recurrent Neural Networks
Recent advancements in recurrent neural network (RNN) research have demo...
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01/30/2019
New insights on Multi-Solution Distribution of the P3P Problem
Traditionally, the P3P problem is solved by firstly transforming its 3 q...
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01/29/2019
Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem
It is well known that the P3P problem could have 1, 2, 3 and at most 4 p...
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05/16/2018
Image Classification Based on Quantum KNN Algorithm
Image classification is an important task in the field of machine learni...
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11/16/2017
Global versus Localized Generative Adversarial Nets
In this paper, we present a novel localized Generative Adversarial Net (...
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06/06/2015