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• Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning
  2017 · 42 citations
• Finite Sample Analyses for TD(0) with Function Approximation
  2017 · 8 citations
• A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
  2019 · 6 citations
• Parameter-Free Federated TD Learning with Markov Noise in Heterogeneous Environments
  2025
• A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
  2021
• Does DQN Learn?
  2022
• Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking
  2022
• Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
  2024
• Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling
  2024
• Reinforcement Learning with Quasi-Hyperbolic Discounting
  2024