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05/19/2022
Data Valuation for Offline Reinforcement Learning
The success of deep reinforcement learning (DRL) hinges on the availabil...
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12/17/2020
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
Over recent years, deep reinforcement learning has shown strong successe...
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12/16/2020
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data
Learning to produce efficient movement behaviour for humanoid robots fro...
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12/16/2020
A comparative evaluation of machine learning methods for robot navigation through human crowds
Robot navigation through crowds poses a difficult challenge to AI system...
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12/16/2020
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks
Microtubule networks (MTs) are a component of a cell that may indicate t...
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12/16/2020
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation
Movement control of artificial limbs has made big advances in recent yea...
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08/02/2020
Curriculum Learning with a Progression Function
Curriculum Learning for Reinforcement Learning is an increasingly popula...
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04/29/2020
Deep Reinforcement Learning with Graph-based State Representations
Deep RL approaches build much of their success on the ability of the dee...
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04/06/2020
Uniform State Abstraction For Reinforcement Learning
Potential Based Reward Shaping combined with a potential function based ...
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11/13/2019
Generating Stereotypes Automatically For Complex Categorical Features
In the context of stereotypes creation for recommender systems, we found...
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03/13/2019
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems
Real-world congestion problems (e.g. traffic congestion) are typically v...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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11/30/2018