Epistemic risk-sensitive reinforcement learning H Eriksson, C Dimitrakakis The 28th European Symposium on Artificial Neural Networks, Computational …, 2020 | 16 | 2020 |
Sentinel: Taming uncertainty with ensemble-based distributional reinforcement learning H Eriksson, D Basu, M Alibeigi, C Dimitrakakis The 38th Conference on Uncertainty in Artificial Intelligence, 2021 | 8 | 2021 |
Inferential induction: Joint bayesian estimation of mdps and value functions C Dimitrakakis, H Eriksson, E Jorge, D Grover, D Basu PMLR, 2020 | 3* | 2020 |
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty H Eriksson, D Basu, M Alibeigi, C Dimitrakakis The 13th Workshop on Optimization and Learning in Multiagent Systems @ AAMAS'22, 2022 | 1 | 2022 |
Risk-Averse Decision-Making under Parametric Uncertainty H Eriksson | | 2022 |
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling H Eriksson, C Dimitrakakis, L Carlsson arXiv preprint arXiv:2104.11834, 2021 | | 2021 |
Automated experiment design for drug development H Eriksson | | 2015 |
Security in access control systems using RFID D Alm, H Eriksson, D Fallstrand, R Karlsson, V Lindström, R Stigsson | | 2014 |