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Hannes Eriksson
Hannes Eriksson
Zenseact AB
Verificeret mail på chalmers.se
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Citeret af
Citeret af
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Epistemic risk-sensitive reinforcement learning
H Eriksson, C Dimitrakakis
The 28th European Symposium on Artificial Neural Networks, Computational …, 2020
342020
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
222021
Inferential induction: Joint bayesian estimation of mdps and value functions
C Dimitrakakis, H Eriksson, E Jorge, D Grover, D Basu
PMLR, 2020
9*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
52022
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
H Eriksson, D Basu, T Tram, M Alibeigi, C Dimitrakakis
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems, 2023
32023
Minimax-Bayes Reinforcement Learning
TK Buening, C Dimitrakakis, H Eriksson, D Grover, E Jorge
The 26th International Conference on Artificial Intelligence and Statistics, 2023
22023
Robustness During Learning, Interaction and Adaptation for Autonomous Driving
H Eriksson
PQDT-Global, 2023
2023
On Bayesian Value Function Distributions.
E Jorge, H Eriksson, C Dimitrakakis, D Basu, D Grover
2022
Risk-Averse Decision-Making under Parametric Uncertainty
H Eriksson
Chalmers Tekniska Hogskola (Sweden), 2022
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
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Artikler 1–12