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01/18/2023
Learning to Participate through Trading of Reward Shares
Enabling autonomous agents to act cooperatively is an important step to ...
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07/15/2022
Stochastic Market Games
Some of the most relevant future applications of multi-agent systems lik...
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09/22/2021
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
Reinforcement learning has driven impressive advances in machine learnin...
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09/22/2021
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion
The expansion of Fiber-To-The-Home (FTTH) networks creates high costs du...
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12/11/2020
Analysis of Feature Representations for Anomalous Sound Detection
In this work, we thoroughly evaluate the efficacy of pretrained neural n...
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08/05/2019
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks
The difficulty of mountainbike downhill trails is a subjective perceptio...
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05/10/2019
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
State-of-the-art approaches to partially observable planning like POMCP ...
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01/25/2019
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies
Decision making in multi-agent systems (MAS) is a great challenge due to...
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10/30/2018
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms
As automatic optimization techniques find their way into industrial appl...
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04/28/2018
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents
In collective adaptive systems (CAS), adaptation can be implemented by o...
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04/17/2018