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10/17/2022
Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting
Global warming made the Arctic available for marine operations and creat...
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05/25/2022
Scalable Multi-Agent Model-Based Reinforcement Learning
Recent Multi-Agent Reinforcement Learning (MARL) literature has been lar...
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03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
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03/21/2022
Self-Imitation Learning from Demonstrations
Despite the numerous breakthroughs achieved with Reinforcement Learning ...
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03/14/2022
Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data
When dealing with binary classification of data with only one labeled cl...
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02/17/2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Reinforcement learning competitions advance the field by providing appro...
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12/02/2021
Maximum Entropy Model-based Reinforcement Learning
Recent advances in reinforcement learning have demonstrated its ability ...
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11/20/2021
Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction
Predicting a structure of an antibody from its sequence is important sin...
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11/05/2021
Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
In this technical report, we present our solution to the Traffic4Cast 20...
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03/30/2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
The Flatland competition aimed at finding novel approaches to solve the ...
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02/24/2021
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
Recent reinforcement learning studies extensively explore the interplay ...
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12/18/2020
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization
This paper describes our approach to solving the black-box optimization ...
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12/17/2020
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box
The task object tracking is vital in numerous applications such as auton...
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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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11/24/2020
Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation
Lipophilicity is one of the factors determining the permeability of the ...
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10/08/2020
Automatic generation of reviews of scientific papers
With an ever-increasing number of scientific papers published each year,...
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07/07/2020
Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
In this paper, we describe our winning approach to solving the Lane Foll...
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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