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Papers
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)
AAAI 2025
Risk-averse Total-reward MDPs with ERM and EVaR
AAAI 2025
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
NeurIPS 2023
Convex Reinforcement Learning in Finite Trials
JMLR 2023
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
IJCAI 2023
Efficient Risk-Averse Reinforcement Learning
NeurIPS 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
AISTATS 2022
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
AAAI 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning
NeurIPS 2021
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
IJCAI 2020