Hannes Eriksson

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Bayesian Estimation

Bayes Classifier

Reinforcement Learning

Top Venues

Publications

Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. AAMAS (2024)
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. CoRR (2023)
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. AISTATS (2023)
Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. CoRR (2023)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. CoRR (2022)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. UAI (2022)
Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. CoRR (2021)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. CoRR (2021)
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR (2020)
Hannes Eriksson, Christos Dimitrakakis
Epistemic Risk-Sensitive Reinforcement Learning. ESANN (2020)
Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS (2020)
Hannes Eriksson, Christos Dimitrakakis
Epistemic Risk-Sensitive Reinforcement Learning. CoRR (2019)