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06/14/2023
Mediated Multi-Agent Reinforcement Learning
The majority of Multi-Agent Reinforcement Learning (MARL) literature equ...
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05/18/2023
Benchmark Framework with Skewed Workloads
In this work, we present a new benchmarking suite with new real-life ins...
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05/25/2022
Neuromorphic Artificial Intelligence Systems
Modern AI systems, based on von Neumann architecture and classical neura...
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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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02/26/2022
Optimal-er Auctions through Attention
RegretNet is a recent breakthrough in the automated design of revenue-ma...
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01/07/2022
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
This article proposes a sparse computation-based method for optimizing n...
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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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02/19/2019
