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• Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning
  2022 · 5 citations
• Re-Reading Improves Reasoning in Large Language Models
  2023 · 5 citations
• State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
  2018 · 3 citations
• TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
  2025 · 1 citations
• A unified algorithm framework for mean-variance optimization in discounted Markov decision processes
  2022 · 1 citations
• Heterogeneous Agent Collaborative Reinforcement Learning
  2026
• TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
  2025
• Transition-based versus State-based Reward Functions for MDPs with Value-at-Risk
  2016
• Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping
  2019
• Global Algorithms for Mean-Variance Optimization in Markov Decision Processes
  2023