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Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning
Specifically, we prove that the agent's risk aversion can be identified as the number of questions tends to infinity, and the questions are randomly designed.
Distributional Method for Risk Averse Reinforcement Learning
We introduce a distributional method for learning the optimal policy in risk averse Markov decision process with finite state action spaces, latent costs, and stationary dynamics.
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