Hannes Eriksson

12 papers A 3B 1Journal 7Unranked 1

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