Hannes Eriksson

According to our database, Hannes Eriksson authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer.

Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis

CoRR, 2023

Minimax-Bayes Reinforcement Learning.

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

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

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

CoRR, 2022

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning.

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling.

Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson

CoRR, 2021

2020

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions.

Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu

CoRR, 2020

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.

Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Epistemic Risk-Sensitive Reinforcement Learning.

Hannes Eriksson, Christos Dimitrakakis

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020