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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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05/08/2020
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking
In this paper we propose Policy Synthesis under probabilistic Constraint...
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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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04/11/2020
Trajectory annotation using sequences of spatial perception
In the near future, more and more machines will perform tasks in the vic...
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04/11/2020
Bayesian Surprise in Indoor Environments
This paper proposes a novel method to identify unexpected structures in ...
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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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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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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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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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03/07/2017
Qualitative Assessment of Recurrent Human Motion
Smartphone applications designed to track human motion in combination wi...
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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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02/25/2017
Monte Carlo Action Programming
This paper proposes Monte Carlo Action Programming, a programming langua...
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02/24/2017