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04/13/2021
Learning and Planning in Complex Action Spaces
Many important real-world problems have action spaces that are high-dime...
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research
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04/13/2021
Online and Offline Reinforcement Learning by Planning with a Learned Model
Learning efficiently from small amounts of data has long been the focus ...
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03/16/2021
Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks
Motivation Regulatory sequences are not solely defined by their nucleic...
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03/01/2021
Persistent Message Passing
Graph neural networks (GNNs) are a powerful inductive bias for modelling...
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09/16/2020
Path Planning using Neural A* Search
We present Neural A*, a novel data-driven search algorithm for path plan...
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09/28/2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
Transfer reinforcement learning (RL) aims at improving learning efficien...
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02/17/2018
Machine learning for Internet of Things data analysis: A survey
Rapid developments in hardware, software, and communication technologies...
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06/09/2017
