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• Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces
  2019 · 6 citations
• Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
  2023 · 5 citations
• Information Design in Multi-Agent Reinforcement Learning
  2023 · 2 citations
• Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control
  2018 · 1 citations
• Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation
  2022 · 1 citations
• Online Policy Optimization for Robust MDP
  2022 · 1 citations
• The Gambler's Problem and Beyond
  2020
• CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
  2021
• Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
  2022
• Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
  2022
• Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
  2023
• Diverse Policy Optimization for Structured Action Space
  2023
• Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
  2024