Hannes Eriksson
Showing 9 publications
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Minimax-Bayes Reinforcement Learning
Minimax-Bayes Reinforcement Learning
Robustness During Learning, Interaction and Adaptation for Autonomous Driving
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
Epistemic risk-sensitive reinforcement learning
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