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01/18/2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
We propose discriminative reward co-training (DIRECT) as an extension to...
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01/04/2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under State Uncertainty
State uncertainty poses a major challenge for decentralized coordination...
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12/20/2022
Constructing Organism Networks from Collaborative Self-Replicators
We introduce organism networks, which function like a single neural netw...
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12/20/2022
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks
Common to all different kinds of recurrent neural networks (RNNs) is the...
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08/10/2022
Capturing Dependencies within Machine Learning via a Formal Process Model
The development of Machine Learning (ML) models is more than just a spec...
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06/24/2022
Black Box Optimization Using QUBO and the Cross Entropy Method
Black box optimization (BBO) can be used to optimize functions whose ana...
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06/12/2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence
Providing expert trajectories in the context of Imitation Learning is of...
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04/28/2022
Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles
Quadratic unconstrained binary optimization (QUBO) can be seen as a gene...
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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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12/14/2020
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
A characteristic of reinforcement learning is the ability to develop unf...
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04/29/2020
Insights on Training Neural Networks for QUBO Tasks
Current hardware limitations restrict the potential when solving quadrat...
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04/29/2020
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
We discuss the synergetic connection between quantum computing and artif...
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12/31/2019
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning
Robustness to out-of-distribution (OOD) data is an important goal in bui...
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12/12/2019
Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions
Quantum computers hold great promise for accelerating computationally ch...
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08/08/2019
Benchmarking Surrogate-Assisted Genetic Recommender Systems
We propose a new approach for building recommender systems by adapting s...
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07/11/2019
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
We propose Stable Yet Memory Bounded Open-Loop (SYMBOL) planning, a gene...
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05/10/2019
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning
In nature, flocking or swarm behavior is observed in many species as it ...
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03/15/2019
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games
We introduce Q-Nash, a quantum annealing algorithm for the NP-complete p...
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02/13/2019
Assessing Solution Quality of 3SAT on a Quantum Annealing Platform
When solving propositional logic satisfiability (specifically 3SAT) usin...
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02/13/2019
Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm
From formal and practical analysis, we identify new challenges that self...
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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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01/08/2019
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning
We consider the problem of detecting out-of-distribution (OOD) samples i...
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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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10/30/2018
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms
Diversity is an important factor in evolutionary algorithms to prevent p...
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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
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation
Making decisions is a great challenge in distributed autonomous environm...
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04/27/2017
Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms
The evolutionary edit distance between two individuals in a population, ...
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02/28/2017
Stacked Thompson Bandits
We introduce Stacked Thompson Bandits (STB) for efficiently generating p...
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02/28/2017
Bayesian Verification under Model Uncertainty
Machine learning enables systems to build and update domain models based...
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02/24/2017