Epistemic Risk-Sensitive Reinforcement Learning. - Hannes Eriksson; Christos Dimitrakakis (ESANN, 2020)

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. - Emilio Jorge; Hannes Eriksson; Christos Dimitrakakis; Debabrota Basu; Divya Grover (ICBINB@NeurIPS, 2020)

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. - Christos Dimitrakakis; Hannes Eriksson; Emilio Jorge; Divya Grover; Debabrota Basu (CoRR, 2020)

High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. - Hannes Eriksson; Christos Dimitrakakis; Lars Carlsson (CoRR, 2021)

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. - Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (UAI, 2022)

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. - Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (CoRR, 2022)

Minimax-Bayes Reinforcement Learning. - Thomas Kleine Buening; Christos Dimitrakakis; Hannes Eriksson; Divya Grover; Emilio Jorge (AISTATS, 2023)

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. - Hannes Eriksson; Tommy Tram; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (AAMAS, 2024)