Adaptive Risk-Sensitive Optimal Control with Dual Features Through Active Inference
Author:
Affiliation:
1. Ghent University,Dynamic Design Lab (D2Lab),Department of Electromechanical, Systems and Metal Engineering,Ghent,Belgium,B-9052
Funder
Research Foundation Flanders (FWO)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591305.pdf?arnumber=10591305
Reference24 articles.
1. A Probabilistic Perspective on Risk-sensitive Reinforcement Learning
2. iRiSC: Iterative Risk Sensitive Control for Nonlinear Systems with Imperfect Observations
3. Adaptive risk sensitive model predictive control with stochastic search;Wang,2021
4. Risk-sensitive reinforcement learning: Near-optimal risk-sample tradeoff in regret;Fei;Advances in Neural Information Processing Systems,2020
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