Hannes Eriksson

Doctoral Student at Data Science and AI

Source: chalmers.se
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Showing 6 publications

2022

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty

Hannes Eriksson, Debabrota Basu, Mina Alibeigi et al
Preprint
2022

SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning

Hannes Eriksson, Debabrota Basu, Mina Alibeigi et al
Proceedings of Machine Learning Research. Vol. 180, p. 631-640
Paper in proceeding
2022

Minimax-Bayes Reinforcement Learning

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson et al
Preprint
2022

Risk-Averse Decision-Making under Parametric Uncertainty

Hannes Eriksson
Licentiate thesis
2020

Epistemic risk-sensitive reinforcement learning

Hannes Eriksson, Christos Dimitrakakis
ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, p. 339-344
Paper in proceeding
2020

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis et al
Proceedings of Machine Learning Research. Vol. 137, p. 43-52
Paper in proceeding

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